WU, C. M.-W., Yuan-Fang Li, LI, J., XU, J., & BOUVRY, P. (11 July 2024). Trustworthy AI: Deciding What to Decide [Paper presentation]. 12th Computing Conference 2024, London, United Kingdom.  Peer reviewed |
  | WU, C. M.-W., XU, J., BOUVRY, P., Li Yuan-Fang, & Li Jian. (11 July 2024). Trustworthy AI: Deciding What to Decide [Paper presentation]. 12th Computing Conference 2024, London, United Kingdom. Peer reviewed |
WU, C. M.-W., XU, J., BOUVRY, P., & Jian Li. (17 January 2024). Strategic Predictions and Explanations By Machine Learning [Paper presentation]. TBA. |
XU, J., WU, C. M.-W., Li, Y.-F., & BOUVRY, P. (27 December 2023). Transformer Multivariate Forecasting: Less is More? [Paper presentation]. AI4TS @AAAI-24, Vancouver, Canada. Peer reviewed |
 | Arslan, T., MARCU, O.-C., DANOY, G., & BOUVRY, P. (15 December 2023). Towards Unified Data Ingestion and Transfer for the Computing Continuum [Poster presentation]. IEEE Big Data. Peer reviewed |
 | HARTMANN, L. M., DANOY, G., ALSWAITTI, M., & BOUVRY, P. (December 2023). MOFL/D: A Federated Multi-objective Learning Framework with Decomposition [Paper presentation]. International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023 (FL@FM-NeurIPS’23), New Orleans, United States - Louisiana. Peer reviewed |
 | COMBARRO SIMON, M., TALBOT, P., DANOY, G., Musial, J., ALSWAITTI, M., & BOUVRY, P. (2023). Constraint Model for the Satellite Image Mosaic Selection Problem. In R. H. C. Y. Yap (Ed.), 29th International Conference on Principles and Practice of Constraint Programming, CP 2023. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. doi:10.4230/LIPIcs.CP.2023.44 Peer reviewed |
 | HELBECQUE, G., GMYS, J., MELAB, N., CARNEIRO PESSOA, T., & BOUVRY, P. (19 July 2023). Parallel distributed productivity-aware tree-search using Chapel. Concurrency and Computation: Practice and Experience, 35 (27). doi:10.1002/cpe.7874 Peer Reviewed verified by ORBi |
 | HELBECQUE, G., GMYS, J., CARNEIRO PESSOA, T., MELAB, N., & BOUVRY, P. (02 June 2023). Towards a Scalable Load Balancing for Productivity-Aware Tree-Search [Paper presentation]. The 10th Annual Chapel Implementers and Users Workshop. Peer reviewed |
 | WU, C. M.-W., Lib, Y.-F., & BOUVRY, P. (2023). Survey of Trustworthy AI: A Meta Decision of AI. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57559. doi:10.48550/arXiv.2306.00380 |
HELBECQUE, G., GMYS, J., MELAB, N., CARNEIRO PESSOA, T., & BOUVRY, P. (03 May 2023). Productivity-aware Parallel Distributed Tree-Search for Exact Optimization [Paper presentation]. International Conference on Optimization and Learning, Malaga, Spain. Peer reviewed |
 | WU, C. M.-W., Zhang, R., Kotagiri, R., & BOUVRY, P. (02 March 2023). Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Computing Surveys, 55 (12), 1-30. doi:10.1145/3571807 Peer Reviewed verified by ORBi |
 | Kieffer, E., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2023). Learning private equity recommitment strategies for institutional investors. Frontiers in Artificial Intelligence in Finance. doi:10.3389/frai.2023.1014317 Peer reviewed |
 | WU, C. M.-W.* , & BOUVRY, P.*. (11 January 2023). The Emerged Artificial Intelligence Protocol for Hierarchical Information Network [Paper presentation]. 2023 International Conference on Information Networking (ICOIN), Bangkok, Tha. doi:10.1109/ICOIN56518.2023.10048942 Peer reviewed* These authors have contributed equally to this work. |
 | Fischbach, T. M., Kieffer, E., & Bouvry, P. (2023). Challenges in Automatic Software Optimisation: the energy efficiency case [Paper presentation]. INTERNATIONAL CONFERENCE ON OPTIMIZATION AND LEARNING (OLA2023). |
  | THANAPOL, P., LAVANGNANANDA, K., LEPREVOST, F., SCHLEICH, J., & BOUVRY, P. (2023). Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy. In N. T. Nguyen & B. Hnatkowska (Eds.), Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-99-5837-5_30 Peer reviewed |
 | Pulido-Gaytan, B., Tchernykh, A., LEPREVOST, F., BOUVRY, P., & Goldman, A. (2023). Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. IEEE Access, 11, 102189 - 102206. doi:10.1109/ACCESS.2023.3315655 Peer Reviewed verified by ORBi |
 | COMBARRO SIMON, M.* , DANOY, G., MUSIAL, J., Tchernykh, A., ALSWAITTI, M., PECERO SANCHEZ, J. E., & BOUVRY, P. (2023). Satellite Image Mosaic Combination Problem [Paper presentation]. International Conference on Optimization and Learning, Malaga, Spain. Peer reviewed |
 | Musial, J.* , COMBARRO SIMON, M., DANOY, G., ALSWAITTI, M., Tchernykh, A., PECERO SANCHEZ, J. E., & BOUVRY, P. (2023). Introduction to the Satellite Image Mosaic Combination Problem [Paper presentation]. ECCO XXXVI CONFERENCE 202, Chania, Greece. Peer reviewed |
 | Hartmann, L. M., Danoy, G., Alswaitti, M., & Bouvry, P. (2023). JoVe-FL - A Joint-embedding Vertical Federated Learning Framework [Paper presentation]. International Conference on Agents and Artificial Intelligence. doi:10.5220/0011802600003393 |
 | Hartmann, L. M., Danoy, G., Alswaitti, M., & Bouvry, P. (2023). A split-training approach to JoVe-FL [Paper presentation]. International Conference on Optimization and Learning. Peer reviewed |
 | Marcu, O.-C., & Bouvry, P. (2023). In support of push-based streaming for the computing continuum. In 15th Asian Conference on Intelligent Information and Database Systems. Peer reviewed |
 | XU, J., WU, C. M.-W., Li, Y.-F., & BOUVRY, P. (2023). Transformer Multivariate Forecasting: Less is More? ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/59995. |
 | Talbot, P., Pinel, F., & Bouvry, P. (June 2022). A Variant of Concurrent Constraint Programming on GPU. Proceedings of the AAAI Conference on Artificial Intelligence, 36 (4), 3830-3839. doi:10.1609/aaai.v36i4.20298 Peer reviewed |
 | HELBECQUE, G., GMYS, J., CARNEIRO PESSOA, T., MELAB, N., & BOUVRY, P. (2022). A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments. In PMAM '22: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores (pp. 21-29). New York, United States: Association for Computing Machinery. doi:10.1145/3528425.3529104 Peer reviewed |
 | Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2022). Learning to Optimise a Swarm of UAVs. Applied Sciences, 12 (19 9587). doi:10.3390/app12199587 Peer Reviewed verified by ORBi |
 | Dilmaghani, S., Brust, M., Ribeiro, C. H., Kieffer, E., Danoy, G., & Bouvry, P. (January 2022). From communities to protein complexes: A local community detection algorithm on PPI networks. PLoS ONE, 17 (1), 1-17. doi:10.1371/journal.pone.0260484 Peer Reviewed verified by ORBi |
 | Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2022). A Framework of Hyper-Heuristics based on Q-Learning. In International Conference in Optimization and Learning (OLA2022). Peer reviewed |
 | Stolfi Rosso, D., Brust, M., Danoy, G., & Bouvry, P. (2022). SuSy-EnGaD: Surveillance System Enhanced by Games of Drones. Drones, 6 (13). doi:10.3390/drones6010013 Peer Reviewed verified by ORBi |
 | Sirajzade, J., Bouvry, P., & Schommer, C. (2022). Deep Mining Covid-19 Literature. In Applied Informatics, 5th International Conference, ICAI 2022, Arequipa, Peru, October 27–29, 2022, Proceedings (pp. 121–133). Springer Cham. doi:10.1007/978-3-031-19647-8_9 Peer reviewed |
 | Kieffer, E., Duflo, G., Danoy, G., Varrette, S., & Bouvry, P. (2022). A RNN-Based Hyper-Heuristic for Combinatorial Problems. In A RNN-Based Hyper-Heuristic for Combinatorial Problems. doi:10.1007/978-3-031-04148-8_2 Peer reviewed |
 | Felten, F., Danoy, G., Talbi, E.-G., & Bouvry, P. (2022). Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (pp. 662--673). Online Streaming, Unknown/unspecified: SCITEPRESS - Science and Technology Publications. doi:10.5220/0010989100003116 Peer reviewed |
 | Stolfi Rosso, D., Brust, M., Danoy, G., & Bouvry, P. (2021). Improving Pheromone Communication for UAV Swarm Mobility Management. In ICCCI 2021: Computational Collective Intelligence (pp. 228-240). doi:10.1007/978-3-030-88081-1_17 Peer reviewed |
 | Paseri, L., Varrette, S., & Bouvry, P. (2021). Protection of Personal Data in High Performance Computing Platform for Scientific Research Purposes. In Proc. of the EU Annual Privacy Forum (APF) 2021 (pp. 123-142). Springer International Publishing. doi:10.1007/978-3-030-76663-4_7 Peer reviewed |
 | Brust, M. R., Danoy, G., Stolfi Rosso, D., & Bouvry, P. (24 February 2021). Swarm-based counter UAV defense system. Discover Internet of Things, 1 (1). doi:10.1007/s43926-021-00002-x Peer reviewed |
 | Comelli, T., Pinel, F., & Bouvry, P. (2021). Comparing elementary cellular automata classifications with a convolutional neural network. Proceedings of International Conference on Agents and Artificial Intelligence (ICAART). doi:10.5220/0010160004670474 Peer reviewed |
 | Fiscarelli, A. M., Brust, M. R., Bouffanais, R., Danoy, G., Piyatumrong, A., & Bouvry, P. (2021). Interplay between success and patterns of human collaboration: case study of a Thai Research Institute. Scientific Reports. doi:10.1038/s41598-020-79447-z Peer reviewed |
 | Samir Labib, N., Danoy, G., Brust, M. R., & Bouvry, P. (07 January 2021). A Distributed Pareto-based Path Planning Algorithm for Autonomous Unmanned Aerial Vehicles (Extended Abstract) [Paper presentation]. 29th International Joint Conference on Artificial Intelligence IJCAI 2020 Multi-Agent Path Finding Workshop (MAPF), Yokohoma, Japan. |
 | Esmaeilzadeh Dilmaghani, S., Brust, M. R., Danoy, G., & Bouvry, P. (2021). Community Detection in Complex Networks: A Survey on Local Approaches [Paper presentation]. 13th Asian Conference on Intelligent Information and Database Systems (ACIIDS). |
 | Kieffer, E., Pinel, F., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2021). Proximal Policy Optimisation for a Private Equity Recommitment System. In Springer CCIS series. Peer reviewed |
 | STOLFI ROSSO, D., Brust, M. R., Danoy, G., & Bouvry, P. (2021). A competitive Predator–Prey approach to enhance surveillance by UAV swarms. Applied Soft Computing, 111, 107701. doi:10.1016/j.asoc.2021.107701 Peer reviewed |
 | Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2021). A Q-Learning Based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours. In Intelligent Information and Database Systems - 13th Asian Conference ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings (pp. 768--781). Springer. doi:10.1007/978-3-030-73280-6\_61 Peer reviewed |
 | Stolfi, D. H., Brust, M. R., Danoy, G., & Bouvry, P. (2021). Improving Pheromone Communication for UAV Swarm Mobility Management. In 13th International Conference on Computational Collective Intelligence (ICCCI 2021) (pp. 228--240). Springer. doi:10.1007/978-3-030-88081-1\_17 Peer reviewed |
 | Stolfi, D. H., Brust, M. R., Danoy, G., & Bouvry, P. (2021). Optimising pheromone communication in a UAV swarm. In GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021 (pp. 323--324). ACM. doi:10.1145/3449726.3459526 Peer reviewed |
 | Kieffer, E., Pinel, F., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2021). Evolutionary Learning of Private Equity Recommitment Strategies. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). doi:10.1109/SSCI50451.2021.9660088 Peer reviewed |
 | Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2021). UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance. Frontiers in Robotics and AI, 8, 5. doi:10.3389/frobt.2021.616950 Peer Reviewed verified by ORBi |
 | STOLFI ROSSO, D., Brust, M. R., Danoy, G., & Bouvry, P. (2021). CONSOLE: intruder detection using a UAV swarm and security rings. Swarm Intelligence, 15 (3), 205--235. doi:10.1007/s11721-021-00193-7 Peer reviewed |
 | Esmaeilzadeh Dilmaghani, S., Piyatumrong, A., Danoy, G., Bouvry, P., & Brust, M. R. (2020). Innovation Networks from Inter-organizational Research Collaborations. Heuristics for Optimization and Learning, 361-375. Peer reviewed |
 | Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2020). Automating the Design of Efficient Distributed Behaviours for a Swarm of UAVs. In IEEE Symposium Series on Computational Intelligence, Canberra 1-4 December 2020 (pp. 489-496). IEEE. doi:10.1109/SSCI47803.2020.9308355 Peer reviewed |
 | Esmaeilzadeh Dilmaghani, S., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Local Community Detection Algorithm with Self-defining Source Nodes. In Complex Networks & Their Applications IX (pp. 200-210). Springer, Cham. Peer reviewed |
 | Mahon, S., Varrette, S., Plugaru, V., Pinel, F., & Bouvry, P. (2020). Performance Analysis of Distributed and Scalable Deep Learning. In 20th IEEE/ACM Intl. Symp. on Cluster, Cloud and Internet Computing (CCGrid'20) (pp. 760--766). Melbourne, Australia: IEEE/ACM. Peer reviewed |
 | Esmaeilzadeh Dilmaghani, S., Brust, M. R., Danoy, G., Cassagnes, N., Pecero, J., & Bouvry, P. (2020). Privacy and Security of Big Data in AI Systems:A Research and Standards Perspective. In 2019 IEEE International Conference on Big Data (Big Data), 9-12 December 2019. IEEE. Peer reviewed |
 | Pinel, F., Yin, J.-X., Hundt, C., Kieffer, E., Varrette, S., Bouvry, P., & See, S. (2020). Evolving a Deep Neural Network Training Time Estimator. Communications in Computer and Information Science. doi:10.1007/978-3-030-41913-4_2 Peer reviewed |
 | Gaudín, A., Madruga, G., Rodríguez, C., Iturriaga, S., Nesmachnow, S., Paz, C., Danoy, G., Bouvry, P., Crespo-Mariño, J. L., & Meneses-Rojas, E. (2020). Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms. In High Performance Computing (pp. 337--352). Cham, Unknown/unspecified: Springer International Publishing. Peer reviewed |
 | Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates. In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020 (pp. 528--535). IEEE. doi:10.1109/IPDPSW50202.2020.00094 Peer reviewed |
 | Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2020). A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms. In IEEE 17th Annual Consumer Communications & Networking Conference CCNC 2020, Las Vegas, NV, USA, January 10-13, 2020 (pp. 1--6). IEEE. doi:10.1109/CCNC46108.2020.9045643 Peer reviewed |
 | Changaival, B., Danoy, G., Kliazovich, Guinand, F., Brust, M. R., Musial, J., Lavangnananda, K., & Bouvry, P. (2020). NGAP: a novel hybrid metaheuristic algorithm for round-trip carsharing fleet planning. In GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020 (pp. 259--260). ACM. doi:10.1145/3377929.3389941 Peer reviewed |
 | Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2020). Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach. In GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020 (pp. 227--228). ACM. doi:10.1145/3377929.3390026 Peer reviewed |
 | Kieffer, E., Danoy, G., Brust, M. R., Bouvry, P., & Nagih, A. (2020). Tackling Large-Scale and Combinatorial Bi-Level Problems With a Genetic Programming Hyper-Heuristic. IEEE Transactions on Evolutionary Computation, 24 (1), 44--56. doi:10.1109/TEVC.2019.2906581 Peer reviewed |
 | Rosalie, M., Kieffer, E., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Bayesian optimisation to select Rössler system parameters used in Chaotic Ant Colony Optimisation for Coverage. Journal of Computational Science, 41, 101047. doi:10.1016/j.jocs.2019.101047 Peer Reviewed verified by ORBi |
 | Thanapol, P., Lavangnananda, K., Bouvry, P., Pinel, F., & Leprevost, F. (2020). Reducing overfitting and improving generalization in training convolutional neural network under limited sample sizes in image recognition. In 5th International Conference on Information Technology, Bangsaen 21-22 October 2020 (pp. 300-305). Peer reviewed |
 | Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2020). A Q-Learning Hyper-Heuristic for UAV Swarming [Paper presentation]. OLA'2020 Int. Conference on Optimization and Learning, Cadiz, Spain. |
 | Brust, M. R., Bouvry, P., Danoy, G., & Talbi, E.-G. (2020). Design Challenges of Trustworthy Artificial Intelligence Learning Systems. In Intelligent Information and Database Systems - 12th Asian Conference ACIIDS 2020, Phuket, Thailand, March 23-26, 2020, Companion Proceedings (pp. 574--584). Springer. doi:10.1007/978-981-15-3380-8_50 Peer reviewed |
 | Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection. In Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (pp. 37--48). Springer. doi:10.1007/978-3-030-41913-4_4 Peer reviewed |
 | Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. Sensors, 20 (9), 2566. doi:10.3390/s20092566 Peer reviewed |
 | Varrette, S., Pinel, F., Kieffer, E., Danoy, G., & Bouvry, P. (2019). Automatic Software Tuning of Parallel Programs for Energy-Aware Executions. In Proc. of 13th Intl. Conf. on Parallel Processing and Applied Mathematics (PPAM 2019). Bialystok, Poland: Springer Verlag. Peer reviewed |
 | Samir Labib, N., Danoy, G., Musial, J., Brust, M. R., & Bouvry, P. (03 November 2019). Internet of Unmanned Aerial Vehicles—A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management. Sensors, 19 (21), 22. doi:10.3390/s19214779 Peer reviewed |
 | Samir Labib, N., Danoy, G., Musial, J., Brust, M. R., & Bouvry, P. (2019). A Multilayer Low-Altitude Airspace Model for UAV Traffic Management. In N. Samir Labib, G. Danoy, J. Musial, M. R. Brust, ... P. Bouvry, 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet '19) (pp. 57-63). ACM. doi:10.1145/3345838.3355998 Peer reviewed |
 | Samir Labib, N., Brust, M. R., Danoy, G., & Bouvry, P. (2019). Trustworthiness in IoT - A Standards Gap Analysis on Security, Data Protection and Privacy. In N. Samir Labib, M. R. Brust, G. Danoy, ... P. Bouvry, Trustworthiness in IoT - A Standards Gap Analysis on Security, Data Protection and Privacy (pp. 1-7). IEEE. doi:10.1109/CSCN.2019.8931393 Peer reviewed |
 | Samir Labib, N., Brust, M. R., Danoy, G., & Bouvry, P. (October 2019). Technical report on data protection and privacy in smart ICT: Internet of Things: Gap analysis between scientific research and technical standardisation: Gap analysis Internet of Things. Technical report on data protection and privacy in smart ICT, 1, 21-42. doi:10.13140/RG.2.2.25802.49600/1 Peer reviewed |
 | Capponi, A., Vitello, P., Fiandrino, C., Cantelmo, G., Kliazovich, D., Sorger, U., & Bouvry, P. (2019). Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities. In IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, 2019. Peer reviewed |
 | Esmaeilzadeh Dilmaghani, S., Brust, M. R., Piyatumrong, A., Danoy, G., & Bouvry, P. (26 June 2019). Link Definition ameliorating Community Detection in Collaboration Networks. Frontiers in Big Data, 2, 22. doi:10.3389/fdata.2019.00022 Peer reviewed |
 | Duflo, G., Kieffer, E., Brust, M. R., Danoy, G., & Bouvry, P. (2019). A GP Hyper-Heuristic Approach for Generating TSP Heuristics. In 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019). Peer reviewed |
 | Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (April 2019). A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. IEEE Communications Surveys and Tutorials, 21 (3, thirdquarter 2019), 2419 - 2465. doi:10.1109/COMST.2019.2914030 Peer Reviewed verified by ORBi |
 | Emeras, J., Varrette, S., Plugaru, V., & Bouvry, P. (April 2019). Amazon Elastic Compute Cloud (EC2) versus In-House HPC Platform: A Cost Analysis. IEEE Transactions on Cloud Computing, 7 (2), 456-468. doi:10.1109/TCC.2016.2628371 Peer Reviewed verified by ORBi |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2019). Tackling Large-Scale and Combinatorial Bi-level Problems with a Genetic Programming Hyper-heuristic. IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2019.2906581 Peer Reviewed verified by ORBi |
 | Esmaeilzadeh Dilmaghani, S., Piyatumrong, A., Bouvry, P., & Brust, M. R. (25 February 2019). Transforming Collaboration Data into Network Layers for Enhanced Analytics [Paper presentation]. International Conference on Optimization and Learning. |
 | Duflo, G., Kieffer, E., Danoy, G., & Bouvry, P. (29 January 2019). GP hyper-heuristic for the travelling salesman problem [Paper presentation]. OLA'2019 Int. Conference on Optimization and Learning, Bangkok, Thailand. |
 | Fiscarelli, A. M., Brust, M. R., Danoy, G., & Bouvry, P. (2019). A Memory-Based Label Propagation Algorithm for Community Detection. In Complex Networks and Their Applications VII. Springer International Publishing. doi:10.1007/978-3-030-05411-3_14 Peer reviewed |
 | Wangsom, P., Lavagnananda, K., & Bouvry, P. (2019). Multi-Objective Scientific-Workflow Scheduling With Data Movement Awareness in Cloud. IEEE Access, 7, 177063-177081. doi:10.1109/ACCESS.2019.2957998 Peer Reviewed verified by ORBi |
 | Tchernykh, A., Cortes-Mendoza, J. M., Bychkov, I., Feoktistov, A., Didelot, L., Bouvry, P., Radchenko, G., & Borodulin, K. (2019). Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, 133, 319-336. doi:10.1016/j.jpdc.2018.07.001 Peer Reviewed verified by ORBi |
 | Fiandrino, C., Allio, N., Kliazovich, D., Giaccone, P., & Bouvry, P. (2019). Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing. IEEE Access, 7, 12156-12166. doi:10.1109/ACCESS.2019.2892508 Peer Reviewed verified by ORBi |
 | Musial, J., Kieffer, E., Guzek, M., Danoy, G., Wagle, S. S., Bouvry, P., & Blazewicz, J. (2019). Cloud Brokering with Bundles: Multi-objective Optimization of Services Selection. Foundations of Computing and Decision Sciences. doi:10.2478/fcds-2019-0020 Peer Reviewed verified by ORBi |
 | Changaival, B., Danoy, G., Kliazovich, D., Guinand, F., Brust, M. R., Musial, J., Lavangnananda, K., & Bouvry, P. (2019). Toward Real-world Vehicle Placement Optimization in Round-trip Carsharing. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1138--1146). New York, NY, USA, Unknown/unspecified: ACM. doi:10.1145/3321707.3321825 Peer reviewed |
Bouvry, P., Varrette, S., Wasim, M. U., Ibrahim, A. A. Z. A., Besseron, X., & Trinh, T. A. (2019). Security, reliability and regulation compliance in Ultrascale Computing System. In A. Y. Zomaya, J. Carretero (Ed.), ... E. Jeannot (Ed.), Ultrascale Computing Systems (pp. 65-83). IET. doi:10.1049/pbpc024e_ch3 Peer reviewed |
 | Fiscarelli, A. M., Brust, M. R., Danoy, G., & Bouvry, P. (2018). A Memory-Based Label Propagation Algorithm for Community Detection. In L. M. Aiello, C. Cherifi, H. Cherifi, R. Lambiotte, L. Pietro, ... L. M. Rocha, Complex Networks and Their Applications VII (7, pp. 171-182). Cham, Switzerland: Springer. Peer reviewed |
 | Vitello, P., Capponi, A., Fiandrino, C., Giaccone, P., Kliazovich, D., Sorger, U., & Bouvry, P. (2018). Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems. In IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, 2018. doi:10.1109/GLOCOM.2018.8648047 Peer reviewed |
Samir Labib, N., Liu, C., Esmaeilzadeh Dilmaghani, S., Brust, M. R., Danoy, G., & Bouvry, P. (2018). White Paper: Data Protection and Privacy in Smart ICT - Scientific Research and Technical Standardization. (1.0). Luxembourg: ILNAS. doi:10.13140/RG.2.2.32160.23045 |
 | Tomasoni, M., Capponi, A., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2018). Why Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks. Pervasive and Mobile Computing. doi:10.1016/j.pmcj.2018.10.002 Peer reviewed |
 | Ibrahim, A. A. Z. A., Wasim, M. U., Varrette, S., & Bouvry, P. (August 2018). PRESENCE: Monitoring and Modelling the Performance Metrics of Mobile Cloud SaaS Web Services. Mobile Information Systems, 2018 (1351386). doi:10.1155/2018/1351386 Peer reviewed |
 | Ibrahim, A. A. Z. A., Wasim, U., Varrette, S., & Bouvry, P. (2018). PRESENCE: Performance Metrics Models for Cloud SaaS Web Services. In Proc. of the 11th IEEE Intl. Conf. on Cloud Computing (CLOUD 2018). San Francisco, USA, Unknown/unspecified: IEEE Computer Society. Peer reviewed |
Parisot, C., Cartiaux, H., Varrette, S., Plugaru, V., Diehl, S., & Bouvry, P. (June 2018). UL HPC Tutorial: Getting Started on the Uni.lu HPC platform [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Plugaru, V., Varrette, S., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Multi-Physics workflows: test cases on CFD / MD / Chemistry applications [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Diehl, S., Varrette, S., Plugaru, V., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Building [custom] software with EasyBuild on the UL HPC platform [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Plugaru, V., Varrette, S., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: HPC Containers with Singularity [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Cartiaux, H., Varrette, S., Plugaru, V., Diehl, S., Parisot, C., & Bouvry, P. (June 2018). UL HPC Tutorial: HPC workflow with sequential jobs [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Varrette, S., Plugaru, V., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Big Data Applications (batch, stream, hybrid) with Hadoop and Spark [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Ginolhac, A., Emeras, J., Varrette, S., Plugaru, V., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Statistical Computing with R [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Varrette, S., Plugaru, V., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Machine and Deep Learning on the UL HPC Platform [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Plugaru, V., Varrette, S., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Basic and Advanced scientific computing using MATLAB [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Plugaru, V., Varrette, S., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Advanced Job scheduling with SLURM and OAR [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Plugaru, V., Diehl, S., Varrette, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Bio-informatics workflows and applications [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Varrette, S., Plugaru, V., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Parallel computations with OpenMP/MPI [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
Parisot, C., Diehl, S., Varrette, S., Plugaru, V., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: (Advanced) Prototyping with Python [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
 | Ibrahim, A. A. Z. A., Varrette, S., & Bouvry, P. (2018). On Verifying and Assuring the Cloud SLA by Evaluating the Performance of SaaS Web Services Across Multi-cloud Providers. In 48th Annual IEEE/IFIP Intl. Conf. on Dependable Systems and Networks Workshops (DNS'18) (pp. 69-70). Luxembourg, Luxembourg: IEEE Computer Society. doi:10.1109/DSN-W.2018.00034 Peer reviewed |
Plugaru, V., Besseron, X., Varrette, S., Diehl, S., Parisot, C., Cartiaux, H., & Bouvry, P. (June 2018). UL HPC Tutorial: Performance engineering - HPC debugging and profilling [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg. |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2018). A Competitive Approach for Bi-Level Co-Evolution. In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). doi:10.1109/IPDPSW.2018.00101 Peer reviewed |
 | Samir Labib, N., Brust, M., Danoy, G., & Bouvry, P. (May 2018). On Standardised UAV Localisation and Tracking Systems in Smart Cities [Poster presentation]. 17th Annual STS Conference Graz 2018 Critical Issues in Science, Technology and Society Studies. |
 | Liu, C., Varrette, S., Brust, M. R., Danoy, G., & Bouvry, P. (May 2018). A Standardized Broker Model in Smart Cities [Poster presentation]. 17th Annual STS Conference Graz 2018 Critical Issues in Science, Technology and Society Studies, Graz, Austria. |
 | Vitello, P., Capponi, A., Fiandrino, C., Giaccone, P., Kliazovich, D., & Bouvry, P. (2018). High-Precision Design of Pedestrian Mobility for Smart City Simulators. In IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018. Peer reviewed |
 | Dentler, J. E., Rosalie, M., Danoy, G., Bouvry, P., Kannan, S., Olivares Mendez, M. A., & Voos, H. (2018). Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control. Journal of Intelligent and Robotic Systems, 1-17. doi:10.1007/s10846-018-0822-8 Peer Reviewed verified by ORBi |
 | Bouvry, P., Varrette, S., Plugaru, V., Peter, S., Cartiaux, H., & Parisot, C. (April 2018). Large-scale research data management: Road to GDPR compliance [Paper presentation]. Luxembourg Data Conversations, Luxembourg, Luxembourg. |
 | Tomasoni, M., Capponi, A., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2018). Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications. In The 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (IEEE Mobile Cloud 2018). doi:10.1109/MobileCloud.2018.00009 Peer reviewed |
 | Kieffer, E., Rosalie, M., Danoy, G., & Bouvry, P. (26 February 2018). Bayesian optimization to enhance coverage performance of a swarm of UAV with chaotic dynamics [Paper presentation]. International Workshop on Optimization and Learning: Challenges and Applications (OLA 2018), Alicante, Spain. |
 | Bouvry, P., Bisdorff, R., Schommer, C., Sorger, U., Theobald, M., & van der Torre, L. (2018). Proceedings - 2017 ILILAS Distinguished Lectures. Luxembourg, Luxembourg: University of Luxembourg. |
 | Rezazad, M., Brust, M. R., Akbari, M., Bouvry, P., & Cheung, N.-M. (2018). Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning. In Advances in Intelligent Systems and Computing. doi:10.1007/978-3-030-03405-4_12 Peer reviewed |
 | Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2018). Chaos-enhanced mobility models for multilevel swarms of UAVs. Swarm and Evolutionary Computation. doi:10.1016/j.swevo.2018.01.002 Peer reviewed |
 | Neveu, E., Popov, P., Hoffmann, A., Migliosi, A., Besseron, X., Danoy, G., Bouvry, P., & Grudinin, S. (2018). RapidRMSD: Rapid determination of RMSDs corresponding to motions of flexible molecules. Bioinformatics. doi:10.1093/bioinformatics/bty160 Peer reviewed |
 | Fiscarelli, A. M., Beliakov, A., Konchenko, S., & Bouvry, P. (2018). A Degenerate Agglomerative Hierarchical Clustering Algorithm for Community Detection. In N. T. Nguyen, D. H. Hoang, T.-P. Hong, H. Pham, ... B. Trawiński, Intelligent Information and Database Systems (pp. 234-242). Cham, Switzerland: Springer. doi:10.1007/978-3-319-75417-8_22 Peer reviewed |
 | Leprévost, F., Bernard, N., & Bouvry, P. (2018). Elliptic Curves Discrete Logarithm Problem over a Finite Field Fp and p-adic Approximations. Proceedings of the 3rd International Conference on Applications in Information Technology (ICAIT-2018), 9-15. doi:10.1145/3274856.3274860 Peer reviewed |
 | Ostaszewski, M., Kieffer, E., Danoy, G., Schneider, R., & Bouvry, P. (2018). Clustering approaches for visual knowledge exploration in molecular interaction networks. BMC Bioinformatics, 19 (1), 308. doi:10.1186/s12859-018-2314-z Peer Reviewed verified by ORBi |
 | Olszewski, M. A., Meder, J. A. A., Kieffer, E., Bleuse, R., Rosalie, M., Danoy, G., & Bouvry, P. (2018). Visualizing the Template of a Chaotic Attractor. In 26th International Symposium on Graph Drawing and Network Visualization (GD 2018). Peer reviewed |
 | Curi, M. E., Carozzi, L., Massobrio, R., Nesmachnow, S., Danoy, G., Ostaszewski, M., & Bouvry, P. (2018). Single and Multiobjective Evolutionary Algorithms for Clustering Biomedical Information with Unknown Number of Clusters. In Bioinspired Optimization Methods and Their Applications. Cham, Unknown/unspecified: Springer International Publishing. Peer reviewed |
 | Ibrahim, A. A. Z. A., Varrette, S., & Bouvry, P. (2018). PRESENCE: Toward a Novel Approach for Performance Evaluation of Mobile Cloud SaaS Web Services. In Proc. of the 32nd IEEE Intl. Conf. on Information Networking (ICOIN 2018) (pp. 50-55). Chiang Mai, Thailand, Thailand: IEEE Computer Society. doi:10.1109/ICOIN.2018.8343082 Peer reviewed |
 | Mesit, J., Brust, M. R., & Bouvry, P. (2018). Lightweight Key Agreement for Wireless Sensor Networks. In 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). doi:10.1109/QRS-C.2018.00080 Peer reviewed |
 | Changaival, B., Rosalie, M., Danoy, G., Lavangnananda, K., & Bouvry, P. (30 December 2017). Chaotic Traversal (CHAT): Very Large Graphs Traversal Using Chaotic Dynamics. International Journal of Bifurcation and Chaos, 27 (14), 1750215. doi:10.1142/S0218127417502157 Peer reviewed |
 | Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., Parisot, C., & Cartiaux, H. (November 2017). Overview and Challenges of the UL HPC Facility at the EuroHPC Horizon [Paper presentation]. 6th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg. |
 | Pouryazdan, M., Fiandrino, C., Kantarci, B., Soyata, T., Kliazovich, D., & Bouvry, P. (11 October 2017). Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things. IEEE Access, 5, 22209 - 22223. doi:10.1109/ACCESS.2017.2762238 Peer Reviewed verified by ORBi |
 | Rosalie, M., Brust, M. R., Danoy, G., Chaumette, S., & Bouvry, P. (2017). Coverage optimization with connectivity preservation for UAV swarms applying chaotic dynamics. In IEEE International Conference on Autonomic Computing (ICAC), Columbus 17-21 July 2017 (pp. 113-118). doi:10.1109/ICAC.2017.26 Peer reviewed |
 | Rosalie, M., Dentler, J. E., Danoy, G., Bouvry, P., Kannan, S., Olivares Mendez, M. A., & Voos, H. (2017). Area exploration with a swarm of UAVs combining deterministic Chaotic Ant Colony Mobility with position MPC. In 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1392-1397). doi:10.1109/ICUAS.2017.7991418 Peer reviewed |
 | Wangsom, P., Lavangnananda, K., & Bouvry, P. (2017). Measuring data locality ratio in virtual MapReduce cluster using WorkflowSim. In Proceedings of the 14th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2017 14th. IEEE. doi:10.1109/JCSSE.2017.8025944 Peer reviewed |
 | Bouvry, P., Chaumette, S., Danoy, G., Guerrini, G., Jurquet, G., Kuwertz, A., Müller, W., Rosalie, M., Sander, J., & Segor, F. (2017). ASIMUT project: Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques. In DroNet'17 Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (pp. 17-20). New York, USA-NY: ACM. doi:10.1145/3086439.3086445 Peer reviewed |
 | Atashpendar, A., Dorronsoro, B., Danoy, G., & Bouvry, P. (2017). A Scalable Parallel Cooperative Coevolutionary PSO Algorithm for Multi-objective Optimization. Journal of Parallel and Distributed Computing. doi:10.1016/j.jpdc.2017.05.018 Peer Reviewed verified by ORBi |
 | Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., Parisot, C., & Cartiaux, H. (June 2017). Overview and Challenges of the UL HPC Facility at the Belval and EuroHPC Horizon [Paper presentation]. 5th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg. |
 | Cortes-Mendoza, J. M., Tchernykh, A., Feoktistov, A., Bouvry, P., & Didelot, L. (2017). Load-Aware Strategies for Cloud-Based VoIP Optimization with VM Startup Prediction. In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017. IEEE. doi:10.1109/IPDPSW.2017.73 Peer reviewed |
 | Cho, D., Taheri, J., Zomaya, A. Y., & Bouvry, P. (2017). Real-Time Virtual Network Function (VNF) Migration toward Low Network Latency in Cloud Environments. In IEEE 10th International Conference on Cloud Computing (CLOUD), 2017. IEEE. doi:10.1109/CLOUD.2017.118 Peer reviewed |
 | Cacciatore, G., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2017). Cost analysis of Smart Lighting Solutions for Smart Cities. In IEEE International Conference on Communications (ICC), Paris, France, 2017. Peer reviewed |
 | Capponi, A., Fiandrino, C., Kliazovich, D., & Bouvry, P. (2017). Energy Efficient Data Collection in Opportunistic Mobile Crowdsensing Architectures for Smart Cities. In 3rd IEEE INFOCOM Workshop on Smart Cites and Urban Computing. Peer reviewed |
 | Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2017). Impact du mécanisme chaotique sur l’optimisation d’un modèle de mobilité pour un essaim de drones devant réaliser une couverture de zone. In E. Falcon, M. Lefranc, F. Pétrélis, ... C.-T. Pham (Eds.), Comptes-rendus de la 20e Rencontre du Non Linéaire (pp. 79-84). Saint Etienne du Rouvray, France: Non-Linéaire Publications. Peer reviewed |
 | Capponi, A., Fiandrino, C., Kliazovich, D., Bouvry, P., & Giordano, S. (2017). A Cost-Effective Distributed Framework for Data Collection in Cloud-based Mobile Crowd Sensing Architectures. IEEE Transactions on Sustainable Computing. doi:10.1109/TSUSC.2017.2666043 Peer reviewed |
 | Fiandrino, C., Capponi, A., Cacciatore, G., Kliazovich, D., Sorger, U., Bouvry, P., Kantarci, B., Granelli, F., & Giordano, S. (2017). CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments. IEEE Access. doi:10.1109/ACCESS.2017.2671678 Peer Reviewed verified by ORBi |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2017). A new modeling approach for the biobjective exact optimization of satellite payload configuration. International Transactions in Operational Research. doi:10.1111/itor.12386 Peer reviewed |
 | Wasim, M. U., Ibrahim, A. A. Z. A., Bouvry, P., & Limba, T. (2017). Self-Regulated Multi-criteria Decision Analysis: An Autonomous Brokerage-Based Approach for Service Provider Ranking in the Cloud. In 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017), December 11-14, Hong Kong China. Peer reviewed |
 | Wasim, M. U., Ibrahim, A. A. Z. A., Bouvry, P., & Limba, T. (2017). Law as a Service (LaaS): Enabling Legal Protection over a Blockchain Network. In 14th International Conference on Smart Cities: Improving Quality of Life using ICT & IoT (HONET-ICT 17), October 09-11, Irbid Jordan. Peer reviewed |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2017). A new Co-evolutionary Algorithm Based on Constraint Decomposition. In IPDPS. IEEE Computer Society. Peer reviewed |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2017). Bayesian Optimization Approach of General Bi-level Problems. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1614-1621). New York, United States: ACM. doi:10.1145/3067695.3082537 Peer reviewed |
 | Brust, M. R., Danoy, G., Bouvry, P., Gashi, D., Pathak, H., & Goncalves, M. P. (2017). Defending Against Intrusion of Malicious UAVs with Networked UAV Defense Swarms. In 42nd IEEE Conference on Local Computer Networks. IEEE Computer Society. doi:10.1109/LCN.Workshops.2017.71 Peer reviewed |
 | Brust, M. R., Zurad, M., Hentges, L. P., Gomes, L., Danoy, G., & Bouvry, P. (2017). Target Tracking Optimization of UAV Swarms Based on Dual-Pheromone Clustering. In CYBCONF 2017-12-13 09:39:53 +0000 2017-12-13 09:39:53 +0000. IEEE. Peer reviewed |
 | Laredo, J.-L., Guinand, F., Damien, O., & Bouvry, P. (01 January 2017). Load Balancing at the Edge of Chaos: How Can Self-Organized Criticality Lead to Energy-Efficient Computing. IEEE Transactions on Parallel and Distributed Systems, 28, 517-529. doi:10.1109/TPDS.2016.2582160 Peer Reviewed verified by ORBi |
 | Armenta-Cano, F. A., Tchernykh, A., Cortes-Mendoza, J. M., Yahyapour, R., Drozdov, A. Y., Bouvry, P., Kliazovich, D., Avetisyan, A., & Nesmachnow, S. (2017). Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention. Programming and Computer Software, 43 (3), 204-215. doi:10.1134/S0361768817030021 Peer Reviewed verified by ORBi |
 | Ibrahim, A. A. Z. A., Kliazovich, D., Bouvry, P., & OLEKSIAK, A. (2016). Using Virtual Desktop Infrastructure to Improve Power Efficiency in Grinfy System. In IEEE 8th International Conference on Cloud Computing Technology and Science(CloudCom), Luxembourg 2016 (pp. 85-89). doi:10.1109/CloudCom.2016.25 Peer reviewed |
 | Wagle, S. S., Guzek, M., & Bouvry, P. (2016). Service Performance Pattern Analysis and Prediction of Commercially Available Cloud Providers. In Service Performance Pattern Analysis and Prediction of Commercially Available Cloud Providers (pp. 8). doi:10.1109/CloudCom.2016.17 Peer reviewed |
 | Fiandrino, C., Kantarci, B., Anjomshoa, F., Kliazovich, D., Bouvry, P., & Matthews, J. (2016). Sociability-Driven User Recruitment in Mobile Crowdsensing Internet of Things Platforms. In IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, 2016. Peer reviewed |
 | Pouryazdan, M., Fiandrino, C., Kantarci, B., Kliazovich, D., Soyata, T., & Bouvry, P. (2016). Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications. In IEEE Global Communications Conference (GLOBECOM) Workshops: Fifth International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA). Peer reviewed |
 | Capponi, A., Fiandrino, C., Franck, C., Sorger, U., Kliazovich, D., & Bouvry, P. (2016). Assessing Performance of Internet of Things-based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities. In 8th IEEE International Conference on Cloud Computing Technology and Science (CloudCom). Peer reviewed |
 | Varrette, S., Bouvry, P., Zomaya, A., Danoy, G., & Gopalakrishnan, S. (Eds.). (2016). Proceedings of the 8th IEEE International Conference on Cloud Computing Technology and Science (ClouCom 2016). IEEE Computer Society. |
 | Ibrahim, A. A. Z. A., Bouvry, P., Kliazovich, D., & OLEKSIAK, A. (2016). Virtual Desktop Infrastructures: architecture, survey and green aspects proof of concept. In 7th INTERNATIONAL GREEN and SUSTAINABLE COMPUTING CONFERENCE (1st RE-HPC workshop), Hangzhou, China (November 2016). Peer reviewed |
 | Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2016). From Random Process to Chaotic Behavior in Swarms of UAVs. In DIVANet '16 Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (pp. 9-15). New York, United States: ACM. doi:10.1145/2989275.2989281 Peer reviewed |
 | Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., & Cartiaux, H. (November 2016). Overview and Challenges of the UL HPC Facility at the Belval Horizon [Paper presentation]. 4th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg. |
 | Changaival, B., Danoy, G., Ostaszewski, M., Lavangnananda, K., & Bouvry, P. (2016). Metaheuristic Based Clustering Algorithms for Biological Hypergraphs. In Proceedings of META’2016, 6th International Conference on Metaheuristics and Nature Inspired computing (pp. 364-366). Peer reviewed |
 | Sciarrone, A., Fiandrino, C., Bisio, I., Lavagetto, F., Kliazovich, D., & Bouvry, P. (2016). Smart Probabilistic Fingerprinting for Indoor Localization over Fog Computing Platforms. In IEEE 5th International Conference on Cloud Networking (CloudNet), Pisa, Italy. Peer reviewed |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2016). Co-evolutionary approach based on constraint decomposition. In Co-evolutionary approach based on constraint decomposition. Peer reviewed |
 | Bouvry, P., Chaumette, S., Danoy, G., Guerrini, G., Jurquet, G., Kuwertz, A., Müller, W., Rosalie, M., & Sander, J. (2016). Using Heterogeneous Multilevel Swarms of UAVs and High-Level Data Fusion to Support Situation Management in Surveillance Scenarios. In 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016. Peer reviewed |
 | Cortes-Mendoza, J., Tchernykh, A., Armenta-Cano, F., Bouvry, P., Drozdov, & Didelot, L. (16 August 2016). Biobjective VoIP Service Management in Cloud Infrastructure. Scientific Programming, 14 (5706790:1-5706790:14). doi:10.1155/2016/5706790 Peer reviewed |
 | Atashpendar, A., Dorronsoro, B., Danoy, G., & Bouvry, P. (2016). A Parallel Cooperative Coevolutionary SMPSO Algorithm for Multi-objective Optimization. In IEEE International Conference on High Performance Computing Simulation (HPCS) (pp. 713–720). doi:10.1109/HPCSim.2016.7568405 Peer reviewed |
 | Ibrahim, A. A. Z. A., Kliazovich, D., & Bouvry, P. (2016). On Service Level Agreement Assurance in Cloud Computing Data Centers. In IEEE 9th International Conference on Cloud Computing (CLOUD), San Francisco, USA (June 2016) (pp. 921-926). doi:10.1109/CLOUD.2016.135 Peer reviewed |
 | Emeras, J., Varrette, S., & Bouvry, P. (2016). Amazon Elastic Compute Cloud (EC2) vs. in-House HPC Platform: a Cost Analysis. In Proc. of the 9th IEEE Intl. Conf. on Cloud Computing (CLOUD 2016). San Francisco, United States: IEEE Computer Society. doi:10.1109/CLOUD.2016.44 Peer reviewed |
 | Ibrahim, A. A. Z. A., Kliazovich, D., & Bouvry, P. (2016). Service Level Agreemnet Assurance between Cloud Services Providers and CLoud Customers. In P. Kellenberger (Ed.), E. Butterfield (Ed.), ... L. Harris (Other coll.), Proceedings of 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing CCGrid 2016 (pp. 588-591). Cartagena, Colombia: IEEE Computer Society. doi:10.1109/CCGrid.2016.56 Peer reviewed |
 | Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2016). Network Coding-based Content Distribution in Cellular Access Networks. In IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016. Peer reviewed |
 | Kieffer, E., Danoy, G., & Bouvry, P. (April 2016). On Bi-level approach for Scheduling problems [Paper presentation]. New Challenges in Scheduling Theory. |
 | Muszynski, J., Varrette, S., & Bouvry, P. (2016). Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip. In Proc. of the 19th European Event on Bio-Inspired Computation, EvoCOMNET 2016. Porto, Portugal, Unknown/unspecified: Springer Verlag. Peer reviewed |
 | Tchernykh, A., Lozano, L., Schwiegelshohn, U., Bouvry, P., Pecero, J., Nesmachnow, S., & Drosdov, A. (01 March 2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing, 14. doi:10.1007/s10723-015-9340-0 Peer Reviewed verified by ORBi |
 | Lopez Loces, M., Musial, J., Pecero, J., Fraire, H., Blazewicz, J., & Bouvry, P. (01 March 2016). Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs. International Journal of Applied Mathematics and Computer Science, 26, 391-406. doi:10.1515/amcs-2016-0028 Peer Reviewed verified by ORBi |
 | Kieffer, E., Guzek, M., Danoy, G., Bouvry, P., & Nagih, A. (2016). A Novel Co-evolutionary Approach for Constrained Genetic Algorithms. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (pp. 47--48). New York, NY, USA, Unknown/unspecified: ACM. doi:10.1145/2908961.2908969 Peer reviewed |
 | Rosalie, M., Danoy, G., Bouvry, P., & Chaumette, S. (2016). UAV Multilevel Swarms for Situation Management. In Proceedings of the 2Nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use (pp. 49--52). New York, NY, USA, Unknown/unspecified: ACM. doi:10.1145/2935620.2935631 Peer reviewed |
 | Kliazovich, D., Pecero, J. E., Tchernykh, A., Bouvry, P., khan, S. U., & Zomaya, A. Y. (2016). CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing. Journal of Grid Computing, 14 (1), 23-39. doi:10.1007/s10723-015-9337-8 Peer Reviewed verified by ORBi |
 | Tretakiova, A., Seredynski, F., & Bouvry, P. (01 January 2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Simulation, 92. doi:10.1177/0037549715612579 Peer reviewed |
 | Atten, C., Chanouf, L., Danoy, G., & Bouvry, P. (2016). UAV Fleet Mobility Model with Multiple Pheromones for Tracking Moving Observation Targets. In 19th European Conference on Applications of Evolutionary Computation (EvoApplications). Springer. Peer reviewed |
 | Wagle, S. S., Guzek, M., Bouvry, P., & Bisdorff, R. (2016). Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially Available Cloud Providers. In IEEE, 2016 IEEE 9th International Conference on Cloud Computing (pp. 529-536). United States: IEEE. Peer reviewed |
 | Nielsen, S. S., Ferreira Torres, C., Danoy, G., & Bouvry, P. (2016). Tackling the IFP Problem with the Preference-Based Genetic Algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference 2016 (pp. 965--972). New York, NY, USA, Unknown/unspecified: ACM. doi:10.1145/2908812.2908954 Peer reviewed |
 | Emeras, J., Besseron, X., Varrette, S., Bouvry, P., & Peters, B. (2016). HPC or the Cloud: a cost study over an XDEM Simulation. In Proc. of the 7th International Supercomputing Conference in Mexico (ISUM 2016). Peer reviewed |
 | Zotkiewicz, M., Guzek, M., Kliazovich, D., & Bouvry, P. (2016). Minimum Dependencies Energy-Efficient Scheduling in Data Centers. IEEE Transactions on Parallel and Distributed Systems. doi:10.1109/TPDS.2016.2542817 Peer Reviewed verified by ORBi |
 | Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2016). Hybrid mobility model with pheromones for UAV detection task. In Hybrid mobility model with pheromones for UAV detection task. doi:10.1109/SSCI.2016.7850104 Peer reviewed |
 | Simionovici, A.-M., Tantar, A., Bouvry, P., Tchernykh, A., Cortes-Mendoza, J. M., & Didelot, L. (05 December 2015). VoIP Traffic Modelling using Gaussian Mixture Models, Gaussian Processes and Interactive Particle Algorithms [Paper presentation]. Globecom, San Diego, United States. |
 | Ragona, C., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2015). Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing. In IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, 2015. Peer reviewed |
 | Wagle, S. S., Guzek, M., Bouvry, P., & Bisdorff, R. (2015). An Evaluation Model for Selecting Cloud Services from Commercially Available Cloud Providers. In 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom) (pp. 1-8). doi:10.1109/CloudCom.2015.94 Peer reviewed |
 | Grzybek, A., Danoy, G., Bouvry, P., & Seredynski, M. (October 2015). Mitigating flash crowd effect using connected vehicle technology. Vehicular Communications, 2 (4). doi:10.1016/j.vehcom.2015.10.002 Peer reviewed |
 | Varrette, S., Dorronsorro, B., & Bouvry, P. (2015). An LLVM-based Approach to Generate Energy Aware Code by means of MOEAs. In Proc. of the 7th European Symposium on Computational Intelligence and Mathematics.(ESCIM 2015). Peer reviewed |
 | Wagle, S. S., Guzek, M., & Bouvry, P. (2015). Cloud Service Providers Ranking Based on Service Delivery and Consumer Experience. In 2015 IEEE 4th International Conference on Cloud Networking (CloudNet) (pp. 209-212). doi:10.1109/CloudNet.2015.7335308 Peer reviewed |
 | Ferreira Torres, C., Nielsen, S. S., Danoy, G., & Bouvry, P. (2015). Preference-Based Genetic Algorithm for Solving the Bio-Inspired NK Landscape Benchmark. In 7th European Symposium on Computational Intelligence and Mathematics (ESCIM). Peer reviewed |
 | Nesmachnow, S., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (October 2015). Metaheuristics for the Virtual Machine Mapping Problem in Clouds. Informatica, 26 (1), 111-134. doi:10.15388/Informatica.2015.41 Peer reviewed |
 | Ruiz, P., & Bouvry, P. (September 2015). Survey on Broadcast Algorithms for Mobile Ad Hoc Networks. ACM Computing Surveys, 48 (1). doi:10.1145/2786005 Peer Reviewed verified by ORBi |
 | Cortés-Mendoza, J. M., Tchernykh, A., Drozdov, A., Bouvry, P., Simionovici, A.-M., Kliazovich, D., & Avetisyan, A. (September 2015). Distributed Adaptive VoIP Load Balancing in Hybrid Clouds [Paper presentation]. Russian Supercomputing Days 2015, Moscow, Russia. |
 | Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2015). Performance Metrics for Data Center Communication Systems. In 8th IEEE International Conference on Cloud Computing, New York, USA, 2015. Peer reviewed |
 | Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., & Cartiaux, H. (June 2015). High Performance Computing (HPC) at UL: Overview (as of 2015) and Usage [Paper presentation]. 3rd High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg. |
 | Muszynski, J., Varrette, S., Dorronsorro, B., & Bouvry, P. (2015). Distributed Cellular Evolutionary Algorithms in a Byzantine Environment. In Proc. of the 18th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2015), part of the 29th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2015). Hyderabad, India: IEEE Computer Society. Peer reviewed |
 | Emeras, J., Varrette, S., Guzek, M., & Bouvry, P. (2015). Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. In Proc. of the 19th Intl. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'15), part of the 29th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2015). IEEE Computer Society. Peer reviewed |
 | Guzek, M., Bouvry, P., & Talbi, E.-G. (May 2015). A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing. IEEE Computational Intelligence Magazine, 10 (2), 53-67. doi:10.1109/MCI.2015.2405351 Peer reviewed |
 | Ruiz, P., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (April 2015). Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks. Applied Soft Computing, 32, 494-508. doi:10.1016/j.asoc.2015.04.003 Peer Reviewed verified by ORBi |
 | Usman, M., Kliazovich, D., Granelli, F., Bouvry, P., & Castoldi, P. (2015). Energy efficiency of TCP: An analytical model and its application to reduce energy consumption of the most diffused transport protocol. International Journal of Communication Systems. doi:10.1002/dac.2934 Peer Reviewed verified by ORBi |
 | Guzek, M., Gniewek, A., Bouvry, P., Musial, J., & Blazewicz, J. (March 2015). Cloud Brokering: Current Practices and Upcoming Challenges. IEEE Cloud Computing, 2 (2). doi:10.1109/MCC.2015.32 Peer Reviewed verified by ORBi |
 | Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (11 February 2015). Optimizing communication satellites payload configuration with exact approaches. Engineering Optimization, 0 (0), 1-26. doi:10.1080/0305215X.2014.995176 Peer reviewed |
Varrette, S., Bouvry, P., Jarus, M., & Oleksiak, A. (2015). Energy efficiency in HPC Data Centers: Latest Advances to Build the Path to Exascale. In Handbook on Data Centers. Springer. doi:10.1007/978-1-4939-2092-1_3 Peer reviewed |
Bouvry, P., Chetsa, G. L. T., Costa, G. D., Jeannot, E., Lefèvre, L., Pierson, J.-M., Pinel, F., Stolf, P., & Varrette, S. (2015). Energy Efficiency and High-Performance Computing. In J.-M. Pierson (Ed.), Large-scale Distributed Systems and Energy Efficiency: A Holistic View (pp. 197--224). John Wiley Sons. doi:10.1002/9781118981122.ch7 Peer reviewed |
 | Besseron, X., Plugaru, V., Mahmoudi, A. H., Varrette, S., Peters, B., & Bouvry, P. (2015). Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware. In Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Civil-Comp Press. Peer reviewed |
 | Boru, D., Kliazovich, D., Granelli, F., Bouvry, P., & Zomaya, A. Y. (2015). Energy-efficient Data Replication in Cloud Computing Datacenters. Cluster Computing, 18 (1), 385-402. doi:10.1007/s10586-014-0404-x Peer Reviewed verified by ORBi |
 | Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2015). Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers. IEEE Transactions on Cloud Computing. doi:10.1109/TCC.2015.2424892 Peer Reviewed verified by ORBi |
 | Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2015). Network-Assisted Offloading for Mobile Cloud Applications. In IEEE International Conference on Communications (ICC), London, UK, 2015. Peer reviewed |
 | Guzek, M., Kliazovich, D., & Bouvry, P. (2015). HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers. In 8th IEEE International Conference on Cloud Computing IEEE CLOUD 2015. doi:10.1109/CLOUD.2015.103 Peer reviewed |
 | Boru, D., Kliazovich, D., Granelli, F., Bouvry, P., & Zomaya, A. Y. (2015). Models for Efficient Data Replication in Cloud Computing Datacenters. In IEEE International Conference on Communications (ICC), London, UK, 2015. Peer reviewed |
 | Cortés-Mendoza, J. M., Tchernykh, Simionovici, A.-M., Bouvry, P., Nesmachnow, S., & Dorronsoro, B. (January 2015). VoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure. International Journal of Metaheuristics, 4 (2), 185-203. doi:10.1504/IJMHEUR.2015.074251 Peer reviewed |
 | Nielsen, S. S., Danoy, G., Jurkowski, W., Jimenez Laredo, J. L., Schneider, R., Talbi, E.-G., & Bouvry, P. (2015). A Novel Multi-objectivisation Approach for Optimising the Protein Inverse Folding Problem. In Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Peer reviewed |
 | Nielsen, S. S., Danoy, G., Bouvry, P., & Talbi, E.-G. (2015). NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks. In GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. New York, United States: ACM. Peer reviewed |
Bouvry, P., Danoy, G., Seredynski, F., Talbi, E.-G., & Zomaya, A. Y. (2015). NIDISC Introduction and Committees. In Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International 2015-10-27 14:21:42 +0000 2015-10-27 14:21:42 +0000. doi:10.1109/IPDPSW.2015.159 |
 | Nielsen, S. S., Danoy, G., Talbi, E.-G., & Bouvry, P. (2015). An NK Landscape Based Model Mimicking the Protein Inverse Folding Problem. In 27th European Conference on Operational Research (EURO). Peer reviewed |
 | Danoy, G., Brust, M. R., & Bouvry, P. (2015). Connectivity Stability in Autonomous Multi-level UAV Swarms for Wide Area Monitoring. In Proceedings of the Fifth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications. ACM. Peer reviewed |
 | Kliazovich, D., Bouvry, P., Granelli, F., & Fonseca, N. L. S. (2015). Energy Consumption Optimization in Cloud Data Centers. In Cloud Services, Networking and Management. Wiley. doi:10.1002/9781119042655.ch8 Peer reviewed |
 | Bouvry, P., Mayer, R., Muszynski, J., Petcu, D., Rauber, A., Tempesti, G., Trinh, & Varrette, S. (2015). Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project. Supercomputing Frontiers and Innovations, 2 (2), 46--63. doi:10.14529/JSFI150203 Peer reviewed |
 | Guzek, M., Besseron, X., Varrette, S., Danoy, G., & Bouvry, P. (2014). ParaMASK: a Multi-Agent System for the Efficient and Dynamic Adaptation of HPC Workloads. In 14th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2014). Peer reviewed |
 | Kieffer, E., Stathakis, A., Danoy, G., Bouvry, P., & Morelli, G. (2014). Bi-objective Exact Optimization of Satellite Payload Power Configuration. In VIII ALIO/EURO Workshop on Applied Combinatorial Optimization. Peer reviewed |
 | Grevisse, C., Muller, I. W., Jimenez Laredo, J. L., Ostaszewski, M., Danoy, G., & Bouvry, P. (2014). Visualization and Classification of Protein Secondary Structures using Self-Organizing Maps. In IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014). Peer reviewed |
 | Plugaru, V., Varrette, S., & Bouvry, P. (2014). Performance Analysis of Cloud Environments on Top of Energy-Efficient Platforms Featuring Low Power Processors. In Proc. of the 6th IEEE Intl. Conf. on Cloud Computing Technology and Science (CloudCom'14). Singapore, Singapore: IEEE Computer Society. Peer reviewed |
 | Kieffer, E., Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (2014). Multi-Objective Evolutionary Approach for the Satellite Payload Power Optimization Problem. In IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014). Peer reviewed |
 | Blazewicz, J., Bouvry, P., Kovalyov, M., & Musial, J. (December 2014). Erratum to: Internet shopping with price-sensitive discounts. 4OR: A Quarterly Journal of Operations Research, 12 (4), 403-406. doi:10.1007/s10288-014-0271-6 Peer Reviewed verified by ORBi |
 | Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (November 2014). Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems. Applied Soft Computing, 24, 432-446. doi:10.1016/j.asoc.2014.07.010 Peer Reviewed verified by ORBi |
 | Kieffer, E., Stathakis, A., Danoy, G., Talbi, E.-G., & Bouvry, P. (2014). Bi-objective Optimization of Satellite Payload Power Configuration. In International Conference on Metaheuristics and Nature Inspired Computing (META 2014). Peer reviewed |
 | Muszynski, J., Varrette, S., Jimenez Laredo, J. L., & Bouvry, P. (2014). Exploiting the Hard-wired Vulnerabilities of Newscast via Connectivity-splitting Attack. In Proc. of the IEEE Intl. Conf. on Network and System Security (NSS 2014). Xi'an, China: Springer Verlag. Peer reviewed |
 | Plugaru, V., Varrette, S., & Bouvry, P. (October 2014). Performance tuning of applications in HPC environments employing Simulated Annealing [Paper presentation]. Intl. Conf. on Metaheuristics and Nature Inspired Computing (META'14). |
 | Varrette, S., Plugaru, V., Guzek, M., Besseron, X., & Bouvry, P. (2014). HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware. In Proc. of the 43rd Intl. Conf. on Parallel Processing (ICPP-2014), Heterogeneous and Unconventional Cluster Architectures and Applications Workshop (HUCAA'14). Minneapolis, MN, US, Unknown/unspecified: IEEE. Peer reviewed |
 | Muszynski, J., Varrette, S., Laredo, J. L. J., & Bouvry, P. (2014). Analysis of the Data Flow in the Newscast Protocol for Possible Vulnerabilities. In Proc. of Intl. Conf. on Cryptography and Security System (CSS'14). Lublin, Poland, Unknown/unspecified: Springer. Peer reviewed |
 | Schleich, J., Danoy, G., Dorronsoro, B., & Bouvry, P. (August 2014). Optimising small-world properties in VANETs: Centralised and distributed overlay approaches. Applied Soft Computing, 21 (0), 637–646. doi:10.1016/j.asoc.2014.03.045 Peer reviewed |
 | Varrette, S., Bouvry, P., Cartiaux, H., & Georgatos, F. (2014). Management of an Academic HPC Cluster: The UL Experience. In Proc. of the 2014 Intl. Conf. on High Performance Computing Simulation (HPCS 2014). Bologna, Italy: IEEE. doi:10.1109/HPCSim.2014.6903792 Peer reviewed |
 | Bouvry, P. (May 2014). Emerging Paradigms and Areas for Expansion. IEEE Cloud Computing, 1 (1). doi:10.1109/MCC.2014.8 Peer Reviewed verified by ORBi |
 | Bertholon, B., Varrette, S., & Bouvry, P. (2014). Comparison of Multi-objective Optimization Algorithms for the JShadObf JavaScript Obfuscator. In Proc. of the 17th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2014), part of the 28th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2014). Phoenix, Arizona, USA, Unknown/unspecified: IEEE Computer Society. Peer reviewed |
 | Varrette, S., Bouvry, P., Georgatos, F., & Cartiaux, H. (May 2014). HPC platforms @ UL: Overview (as of 2014) and Usage [Paper presentation]. 1st High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg. |
 | Stathakis, A., Danoy, G., Talbi, E.-G., Bouvry, P., & Morelli, G. (2014). Hybridisation Schemes for Communication Satellite Payload Configuration Optimisation. In 17th European Conference on Applications of Evolutionary Computation (EvoApplications 2014) (pp. 565--576). doi:10.1007/978-3-662-45523-4_46 Peer reviewed |
 | DANOY, G., SCHLEICH, J., BOUVRY, P., & Dorronsoro, B. (01 April 2014). A Parallel Multi-Objective Cooperative Coevolutionary Algorithm for Optimising Small-World Properties in VANETs. CLEI Electronic Journal, 17 (1). doi:10.19153/cleiej.17.1.1 Peer Reviewed verified by ORBi |
 | Muszynski, J., Varrette, S., & Bouvry, P. (March 2014). On the Resilience of the Newscast Protocol in the Presence of Cheaters [Paper presentation]. 2014 Grande Region Security and Reliability Day (GRSRD 2014), Saarbrucken, Germany. |
 | Plugaru, V., Varrette, S., Pinel, F., & Bouvry, P. (2014). Evaluating the HPC Performance and Energy-Efficiency of Intel and ARM-based systems with synthetic and bioinformatics workloads. CSC. |
 | Kandalintsev, A., Lo Cigno, R., Kliazovich, D., & Bouvry, P. (2014). Profiling Cloud Applications with Hardware Performance Counters. In International Conference on Information Networking (ICOIN), Phuket, Thailand, 2014. Peer reviewed |
 | Nielsen, S. S., Jurkowski, W., Danoy, G., Jimenez Laredo, J. L., Schneider, R., Talbi, E.-G., & Bouvry, P. (2014). Evolutionary Multi-Objective Optimisation with Quantile Constraint for the Protein Structure Similarity Problem [Paper presentation]. 5th International Conference on Metaheuristics and Nature Inspired Computing (META). |
 | Nielsen, S. S., Jurkowski, W., Danoy, G., Jimenez Laredo, J. L., Schneider, R., Talbi, E.-G., & Bouvry, P. (2014). Evolutionary multi objective optimisation with diversity as objective for the protein structure similarity problem [Paper presentation]. Natural computing for protein structure prediction Workshop, 13th International Conference on Parallel Problem Solving From Nature (PPSN), Ljubljana, Slovenia. |
 | Tchernykh, A., Cortés-Mendoza, J. M., Pecero, J. E., Bouvry, P., & Kliazovich, D. (2014). Adaptive Energy Efficient Distributed VoIP Load Balancing in Federated Cloud Infrastructure. In IEEE International Conference on Cloud Networking (CLOUDNET), Luxembourg City, 2014. doi:10.1109/CloudNet.2014.6968964 Peer reviewed |
 | Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2014). NC-CELL: Network Coding-based Content Distribution in Cellular Networks for Cloud Applications. In IEEE Global Communications Conference, Austin, TX, USA, 2014. Peer reviewed |
 | Mezmaz, M., Mehdi, M., Bouvry, P., Talbi, E.-G., & Tuyttens, D. (2014). Solving the three dimensional quadratic assignment problem on a computational grid. Cluster Computing, 17 (2), 205-217. doi:10.1007/s10586-013-0313-4 Peer Reviewed verified by ORBi |
 | Tretyakova, A., Seredynski, F., & Bouvry, P. (2014). Cellular Automata Approach to Maximum Lifetime Coverage Problem in Wireless Sensor Networks. In J. Was, G. Sirakoulis, ... S. Bandini (Eds.), Cellular Automata: 11th International Conference on Cellular Automata for Research and Industry, ACRI 2014 Krakow, Poland, September 22–25, 2014, Proceedings (pp. 437-446). Springer. doi:10.1007/978-3-319-11520-7_45 Peer reviewed |
 | Jimenez Laredo, J. L., Nielsen, S. S., Danoy, G., Bouvry, P., & fernandes, C. (2014). Cooperative Selection: Improving Tournament Selection via Altruism. In The 14th European Conference on Evolutionary Computation in Combinatorial Optimisation. Peer reviewed |
 | Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (2014). Optimising Communication Satellites Payload Configuration with Exact Approaches. Engineering Optimization. doi:10.1080/0305215X.2014.995176 Peer reviewed |
 | Blazewicz, J., Bouvry, P., Kovalyov, M., & Musial, J. (2014). Internet shopping with price sensitive discounts. 4OR: A Quarterly Journal of Operations Research, 12 (1), 35-48. doi:10.1007/s10288-013-0230-7 Peer Reviewed verified by ORBi |
 | Jimenez Laredo, J. L., Bouvry, P., Lombraña Gonzalez, D., Fernández de Vega, F., García Arenas, M., Merelo Guervós, J. J., & Fernandes, C. M. (2014). Designing Robust Volunteer-based Evolutionary Algorithms. Genetic Programming and Evolvable Machines. doi:10.1007/s10710-014-9213-5 Peer reviewed |
 | Jimenez Laredo, J. L., Bouvry, P., Guinand, F., Dorronsoro, B., & Fernandes, C. (2014). The sandpile scheduler: How self-organized criticality may lead to dynamic load-balancing. Cluster Computing. doi:10.1007/s10586-013-0328-x Peer Reviewed verified by ORBi |
 | Pecero, J., Diaz, C., Castro, H., Villamizar, M., Sotelo, G., & Bouvry, P. (2014). Energy Savings on a Cloud-based Opportunistic Infrastructure. In Service Oriented Computing ICSOC 2013 Workshops (pp. 366-378). Spinger International Publishing. doi:10.1007/978-3-319-06859-6-32 Peer reviewed |
Dorronsoro, B., Ruiz, P., Danoy, G., Pigné, Y., & Bouvry, P. (2014). Evolutionary Algorithms for Mobile Ad Hoc Networks. John Wiley & Sons. doi:10.1002/9781118833209 |
 | Diaz, C., Pecero, J., Bouvry, P., Sotelo, G., Villamizar, M., & Castro, H. (2014). Performance Evaluation of an IaaS Opportunistic Cloud Computing [Poster presentation]. 14th International Symposium on Cluster, Cloud, and Grid Computing, Chicago, United States. doi:10.1109/CCGrid.2014.116 |
 | Dorronsoro, B., Danoy, G., & Bouvry, P. (2014). Special issue: Energy-efficiency in large distributed computing architectures. Future Generation Comp. Syst, 36, 187--188. doi:10.1016/j.future.2014.03.006 Peer reviewed |
Schuetze, O., Coello, C. A. C., Tantar, A.-A., Tantar, E., Bouvry, P., Moral, P. D., & Legrand, P. (Eds.). (2014). EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation III [EVOLVE 2012, Mexico City Mexico, August 7-9, 2012, selection of extended papers]. Springer. |
 | Pinel, F., Dorronsoro, B., Bouvry, P., & khan, S. (2014). It's Not a Bug, It'sa Feature: Wait-free Asynchronous Cellular Genetic Algorithm. In R. Wyrzykowski & J. Dongarra (Eds.), Parallel Processing and Applied Mathematics 10th International Conference, PPAM 2013 Warsaw, Poland, September 8–11, 2013. LNCS. Peer reviewed |
 | Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2014). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. Concurrency and Computation: Practice and Experience. doi:10.1007/978-3-642-40517-4_13 Peer reviewed |
 | Nguyen, A. Q., Tantar, A.-A., Bouvry, P., & Talbi, E.-G. (18 December 2013). Design of an Energy Efficiency Model and Architecture for Cloud Management using Prediction Models [Paper presentation]. SocPar 2013, Hanoi, Vietnam. |
 | Diaz, C., Pecero, J., & Bouvry, P. (2013). Scalable, Low complexity, and fast greedy scheduling heuristics for highly heterogeneous distributed computing systems. Journal of Supercomputing. doi:10.1007/s11227-013-1038-0 Peer reviewed |
 | Taheri, J., Zomaya, A., Bouvry, P., & Khan, S. (October 2013). Hopfield neural network for simultaneous job scheduling and data replication in grids. Future Generation Computer Systems, 29 (8), 1885-1900. doi:10.1016/j.future.2013.04.020 Peer Reviewed verified by ORBi |
 | Varrette, S., Guzek, M., Plugaru, V., Besseron, X., & Bouvry, P. (2013). HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors. In Proc. of the 25th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2013). Peer reviewed |
 | Delplace, V., Manneback, P., Pinel, F., Varrette, S., & Bouvry, P. (2013). Comparing the Performance and Power Usage of GPU and ARM Clusters for Map-Reduce. In Proc. of the 3rd Intl. Conf. on Cloud and Green Computing (CGC'13). IEEE Computer Society. doi:10.1109/CGC.2013.38 Peer reviewed |
 | Guzek, M., Danoy, G., & Bouvry, P. (2013). System Design and Implementation Decisions for ParaMoise Organizational Model. In Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (pp. 999-1005). Peer reviewed |
 | Simionovici, A.-M., Tantar, A., Bouvry, P., & Didelot, L. (September 2013). Predictive Modeling in a VoIP System. Journal of Telecommunications and Information Technology, 4, 32-40. Peer Reviewed verified by ORBi |
 | Plugaru, V., Georgatos, F., Varrette, S., & Bouvry, P. (2013). Performance tuning of applications for HPC systems employing Simulated Annealing optimization. Luxembourg, Luxembourg: CSC. |
 | Schaberreiter, T., Varrette, S., Bouvry, P., Röning, J., & Khadraoui, D. (2013). Dependency Analysis for Critical Infrastructure Security Modelling: A Case Study within the Grid'5000 Project. In Proc. of the 3th IFIP Intl. SeCIHD'2013 Workshop, part of the 8th Intl. Conf. on Availability, Reliability and Security (ARES'13) (pp. 269-287). Regensburg, Germany: Springer Verlag. Peer reviewed |
 | Pinel, F., Dorronsoro, B., Bouvry, P., & Khan, S. (2013). Savant: Automatic parallelization of a scheduling heuristic with machine learning. In Nature and Biologically Inspired Computing (NaBIC), 2013 World Congress on. doi:10.1109/NaBIC.2013.6617837 Peer reviewed |
 | Nguyen, A. Q., Tantar, A.-A., Bouvry, P., & Talbi, E.-G. (13 July 2013). Energy Efficiency Metaheuristic Mechanism for Cloud Broker \\ in Multi-Cloud Computing [Paper presentation]. EVOLVE 2013, Leiden, Netherlands. |
 | Simionovici, A.-M., Tantar, A., & Bouvry, P. (July 2013). Dynamic MixVoIP [Paper presentation]. EVOLVE 2013, A Bridge between Probability, Set Oriented Optimization, and Evolutionary Computation, Leiden, Netherlands. |
 | Tantar, A.-A., Nguyen, A. Q., Bouvry, P., Dorronsoro, B., & Talbi, E.-G. (21 June 2013). Computational Intelligence for Cloud Management Current Trends and Opportunities [Paper presentation]. Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun, Mexico. doi:10.1109/CEC.2013.6557713 |
 | Guzek, M., Danoy, G., & Bouvry, P. (2013). ParaMoise: Increasing Capabilities of Parallel Execution and Reorganization in an Organizational Model. In T. Ito, C. Jonker, M. Gini, ... O. Shehory (Eds.), Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems, AAMAS'13. Peer reviewed |
 | Jarus, M., Varrette, S., Oleksiak, A., & Bouvry, P. (2013). Performance Evaluation and Energy Efficiency of High-Density HPC Platforms Based on Intel, AMD and ARM Processors. In Proc. of the Intl. Conf. on Energy Efficiency in Large Scale Distributed Systems (EE-LSDS'13). Vienna, Austria, Unknown/unspecified: Springer Verlag. doi:10.1007/978-3-642-40517-4_16 Peer reviewed |
 | Dorronsoro, B., & Bouvry, P. (March 2013). Cellular genetic algorithms without additional parameters. Journal of Supercomputing, 63 (3), 816-835. doi:10.1007/s11227-012-0773-y Peer reviewed |
 | Pinel, F., Dorronsoro, B., & Bouvry, P. (31 January 2013). Solving very large instances of the scheduling of independent tasks problem on the GPU. Journal of Parallel and Distributed Computing, 73 (1), 101-110. doi:10.1016/j.jpdc.2012.02.018 Peer reviewed |
 | Kliazovich, D., Arzo, S. T., Granelli, F., Bouvry, P., & Khan, S. U. (2013). e-STAB: Energy-Efficient Scheduling for Cloud Computing Applications with Traffic Load Balancing. In IEEE International Conference on Green Computing and Communications (GreenCom), Beijing, China 2013. doi:10.1109/GreenCom-iThings-CPSCom.2013.28 Peer reviewed |
 | Iturriaga, S., Ruiz, P., Nesmachnow, S., Dorronsoro, B., & Bouvry, P. (2013). A Parallel Multi-objective Local Search for AEDB Protocol Tuning. In IEEE International Parallel and Distributed Processing Simposium (pp. 415-424). doi:10.1109/IPDPSW.2013.237 Peer reviewed |
 | Kliazovich, D., Bouvry, P., & Khan, S. (2013). Simulation and Performance Analysis of Data Intensive and Workload Intensive Cloud Computing Data Centers. In C. Kachris, K. Bergman, ... I. Tomkos (Eds.), Optical Interconnects for Future Data Center Networks (pp. 47-63). Springer New York. doi:10.1007/978-1-4614-4630-9_4 Peer reviewed |
 | Jimenez Laredo, J. L., Dorronsoro, B., Fernandes, C., Merelo, J. J., & Bouvry, P. (2013). Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures. In G. Nicosia & P. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 444-449). Springer-Verlag. doi:10.1007/978-3-642-44973-4_47 Peer reviewed |
 | Boru, D., Kliazovich, D., Granelli, F., Bouvry, P., & Zomaya, A. (2013). Energy-Efficient Data Replication in Cloud Computing Datacenters. In IEEE Globecom 2013 International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA), Atlanta, GA, USA, 2013. doi:10.1109/GLOCOMW.2013.6825028 Peer reviewed |
 | Varrette, S., Danoy, G., Guzek, M., Besseron, X., & Bouvry, P. (2013). Using Data-flow analysis in MAS for power-aware HPC runs. In Proc. of the IEEE Intl. Conf. on High Performance Computing and Simulation (HPCS'13). IEEE Computer Society. doi:10.1109/HPCSim.2013.6641407 |
 | Kliazovich, D., Pecero, J., Tchernykh, A., Bouvry, P., Khan, S. U., & Zomaya, A. Y. (2013). CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications. In Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing (pp. 277--284). Washington, DC, USA, Unknown/unspecified: IEEE Computer Society. doi:10.1109/CLOUD.2013.40 Peer reviewed |
 | Kliazovich, D., Bouvry, P., & Khan, S. U. (2013). DENS: data center energy-efficient network-aware scheduling. Cluster Computing, 16 (1), 65-75. doi:10.1007/s10586-011-0177-4 Peer Reviewed verified by ORBi |
 | Guzek, M., Kliazovich, D., & Bouvry, P. (2013). A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers. In IEEE International Conference on Cloud Computing Technology, Bristol, UK, 2013. doi:10.1109/CloudCom.2013.84 Peer reviewed |
 | nesmachnow, S., iturriaga, S., dorronsoro, B., El-Ghazali, T., & Bouvry, P. (2013). List scheduling heuristics for virtual machine mapping in cloud systems. In VI Latin American Symposium on High Performance Computing (HPCLatam) (pp. 37-48). Peer reviewed |
 | Kliazovich, D., Arzo, S. T., Granelli, F., Bouvry, P., & Khan, S. U. (2013). Accounting for load variation in energy-efficient data centers. In IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013. doi:10.1109/ICC.2013.6654920 Peer reviewed |
 | iturriaga, S., Nesmachnow, S., Dorronsoro, B., El-Ghazali, T., & Bouvry, P. (2013). A parallel hybrid evolutionary algorithm for the optimization of broker virtual machines subletting in cloud systems. In International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. doi:10.1109/3PGCIC.2013.103 Peer reviewed |
 | Nielsen, S. S., Danoy, G., & Bouvry, P. (2013). Vehicular mobility model optimization using cooperative coevolutionary genetic algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '13) (pp. 1349-1356). ACM. doi:10.1145/2463372.2463539 Peer reviewed |
 | Iturriaga, S., Nesmachnow, S., Dorronsoro, B., & Bouvry, P. (2013). Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search. Computing and Informatics, 32 (2), 273-294. Peer reviewed |
 | Dorronsoro, B., Danoy, G., Nebro, A. J., & Bouvry, P. (2013). Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. Computers and Operations Research, 40 (6), 1552-1563. doi:10.1016/j.cor.2011.11.014 Peer reviewed |
 | Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2013). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. In Energy Efficiency in Large Scale Distributed Systems (pp. 133-152). Springer. Peer reviewed |
 | Muszynski, J., Varrette, S., & Bouvry, P. (2013). Expected Running Time of Parallel Evolutionary Algorithms on Unimodal Pseudo-Boolean Functions over Small-World Networks. In Proc. of the IEEE Congress on Evolutionary Computation (CEC'2013). Cancún, Mexico, Unknown/unspecified: IEEE. doi:10.1109/CEC.2013.6557881 Peer reviewed |
 | Stathakis, A., Danoy, G., Schleich, J., Bouvry, P., & Morelli, G. (2013). Minimising longest path length in communication satellite payloads via metaheuristics. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO '13 (pp. 1365-1372). ACM. doi:10.1145/2463372.2463535 Peer reviewed |
 | Schleich, J., Danoy, G., Dorronsoro, B., & Bouvry, P. (2013). An Overlay Approach for Optimising Small-World Properties in VANETs. In Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications) (pp. 32-41). Peer reviewed |
 | Dorronsoro, B., Burguillo, J. C., Peleteiro, A., & Bouvry, P. (2013). Evolutionary algorithms based on game theory and cellular automata with coalitions. In I. Zelinka, V. Snasel, ... A. Abraham (Eds.), Handbook of Optimization (pp. 481-503). Springer. Peer reviewed |
 | Caldeira, F., Schaberreiter, T., Varrette, S., Monteiro, E., Sim$\texto$es, P., Khadraoui, D., & Bouvry, P. (2013). Trust Based Interdependency Weighting for On-line Risk Monitoring in Interdependent Critical Infrastructures. International Journal of Secure Software Engineering, 4 (4), 47-69. doi:10.4018/ijsse.2013100103 Peer reviewed |
 | Diaz, C., Castro, H., Villamizar, M., Pecero, J., & Bouvry, P. (2013). Energy-aware VM allocation on An Opportunistic Cloud Infrastructure. In Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing. doi:10.1109/CCGrid.2013.96 Peer reviewed |
 | Sotelo, G., Diaz, C., Villamizar, M., Castro, H., Pecero, J., & Bouvry, P. (2013). Bulding Platform as a Service for High Performance Computing over an Opportunistic Cloud Computing. In Algorithms and Architectures for Parallel Processing (pp. 380-389). Springer International Publishing. doi:10.1007/978-3-319-03859-9_33 Peer reviewed |
 | Bertholon, B., Varrette, S., & Bouvry, P. (2013). JShadObf: A JavaScript Obfuscator Based on Multi-Objective Optimization Algorithms. In J. Lopez, X. Huang, ... R. Sandhu (Eds.), Network and System Security (pp. 336-349). Springer Berlin Heidelberg. doi:10.1007/978-3-642-38631-2_25 Peer reviewed |
 | Nesmachnow, S., Dorronsoro, B., Pecero, J., & Bouvry, P. (2013). Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems. Journal of Grid Computing, 11, 653-680. doi:10.1007/s10723-013-9258-3 Peer reviewed |
Castro, H., Villamizar, M., Sotelo, G., Diaz, C., Pecero, J., Bouvry, P., & Khan, S. (2013). GFOG: Green and Flexible Opportunistic Grids. In S. Khan, A. Zomaya, ... W. Lizhe (Eds.), Scalable Computing and Communications. Theory and Practice (pp. 365-386). Hoboken, United States - New Jersey: Wiley&Sons. Peer reviewed |
 | Schleich, J., Panchapakesan, A., Danoy, G., & Bouvry, P. (2013). UAV fleet area coverage with network connectivity constraint. In Proceedings of the 11th ACM International Symposium on Mobility Management and Wireless Access (MobiWac'13) (pp. 131-138). ACM. doi:10.1145/2508222.2508225 Peer reviewed |
Emmerich, M., Deutz, A., Schuetze, O., Bäck, T., Tantar, E., Tantar, A.-A., Moral, P. D., Legrand, P., Bouvry, P., & Coello, C. A. C. (Eds.). (2013). EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation IV [EVOLVE 2013, Leiden The Netherlands, July 10-13, 2013]. Springer. |
Tantar, E., Tantar, A.-A., Bouvry, P., Moral, P. D., Legrand, P., Coello, C. A. C., & Schütze, O. (Eds.). (2013). EVOLVE - A Bridge between Probability, Set Oriented Numerics: and Evolutionary Computation. Springer. doi:10.1007/978-3-319-01128-8 |
Dorronsoro, B., Burguillo, J. C., Peleteiro, A., & Bouvry, P. (2013). Evolutionary algorithms based on game theory and cellular automata with coalitions. In I. Zelinka, V. Snasel, ... A. Abraham (Eds.), Handbook of Optimization (pp. 481-503). Springer. Peer reviewed |
 | Kliazovich, D., Granelli, F., Fonseca, N. L. S., & Bouvry, P. (2013). Architectures and Information Signaling Techniques for Cognitive Networks. In Architectures and Information Signaling Techniques for Cognitive Networks. IGI Global. Peer reviewed |
 | Hussain, H., Malik, S. U. R., Hameed, A., Khan, S. U., Bickler, G., Min-Allah, N., Qureshi, M. B., Zhang, L., Yongji, W., Ghani, N., Kolodziej, J., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., Bouvry, P., ... Rayes, A. (2013). A survey on resource allocation in high performance distributed computing systems. Parallel Computing, 39 (11), 709 - 736. doi:10.1016/j.parco.2013.09.009 Peer Reviewed verified by ORBi |
Bouvry, P., Schuetze, O., Coello Coello, C. A., Del Moral, P., Tantar, A.-A. (Crit. Ed.), & Tantar, E. (Crit. Ed.). (2013). Special issue on evolutionary computing and complex systems. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 17 (6), 909-912. doi:10.1007/s00500-013-1049-z |
 | SCHLEICH, J., An Le Thi, H., & BOUVRY, P. (November 2012). Solving the minimum M-dominating set problem by a continuous optimization approach based on DC programming and DCA. Journal of Combinatorial Optimization, 24 (4), 397 - 412. doi:10.1007/s10878-011-9396-0 Peer Reviewed verified by ORBi |
 | Varrette, S., Muszynski, J., & Bouvry, P. (September 2012). Hash function generation by means of Gene Expression Programming. Intl. Conf. on Cryptography and Security System (CSS’12), XII (3), 37 - 53. Peer reviewed |
 | Castro, H., Villamizar, M., Sotelo, G., Diaz, C., Pecero, J., & Bouvry, P. (2012). Green Flexible Opportunistic Computing with task consolidation and virtualization. Cluster Computing. doi:10.1007/s10586-012-0222-y Peer Reviewed verified by ORBi |
 | Pecero, J., Fraire Huacuja, H. J., Bouvry, P., Santiago Pineda, A. A., López Locés, M. C., & González Barbosa, J. J. (2012). On the Energy Optimization for Precedence Constrained Applications using Local Search Algorithms. In International Conference on High Performance Computing and Simulation (HPCS), 2012 (pp. 133 - 139). doi:10.1109/HPCSim.2012.6266902 Peer reviewed |
Pecero, J., Dorronsoro, B., Guzek, M., & Bouvry, P. (2012). Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters. In I. Ahmad & S. Ranka (Eds.), Handbook energy-aware and green computing (pp. 443 - 473). Chapman and Hall/CRC Press. |
 | Jimenez Laredo, J. L., Bouvry, P., Mostaghim, S., & Merelo Guervós, J. J. (2012). Validating a Peer-to-Peer Evolutionary Algorithm. European Conference on the Applications of Evolutionary Computation, 1-1. Peer reviewed |
Klopotek, M., Leprévost, F., Marciniak, M., Mykowiecka, A., Rybinski, H., & Bouvry, P. (Eds.). (2012). Security and Intelligent Information Systems. Springer. |
 | Guzek, M., Diaz, C., Pecero, J., Bouvry, P., & Zomaya, A. Y. (2012). Impact of Voltage Levels Number for Energy-aware Bi-objective DAG Scheduling for Multi-processors Systems. In Advances in Information Technology: 5th International Conference, IAIT 2012, Bangkok, Thailand, December 6-7, 2012, Proceedings (pp. 70-80). Springer. Peer reviewed |
 | Danoy, G., Dorronsoro, B., & Bouvry, P. (2012). New State-of-the-art Results for Cassini2 Global Trajectory Optimization Problem. Acta Futura : The Journal of the Advanced Concepts Team, 5, 56 - 72. Peer reviewed |
 | Stathakis, A., Danoy, G., Veneziano, T., Bouvry, P., & Morelli, G. (2012). Bi-objective Optimisation of Satellite Payload Configuration. In ROADEF (pp. 1-2). Peer reviewed |
 | Kliazovich, D., Bouvry, P., & U. Khan, S. (2012). GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. Journal of Supercomputing, 62 (3), 1263-1283. doi:10.1007/s11227-010-0504-1 Peer reviewed |
 | Nielsen, S. S., Dorronsoro, B., Danoy, G., & Bouvry, P. (2012). Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms. In Congress on Evolutionary Computation (CEC) (pp. 1-7). IEEE. doi:10.1109/CEC.2012.6252903 Peer reviewed |
 | Stathakis, A., Danoy, G., Bouvry, P., & Morelli, G. (2012). Satellite Payload Reconfiguration Optimisation: An ILP Model. In Proceedings of the 4th Asian Conference on Intelligent Information and Database Systems (ACIIDS'12) (pp. 311-320). Springer. Peer reviewed |
 | Stathakis, A., Danoy, G., Veneziano, T., Schleich, J., & Bouvry, P. (2012). Optimising Satellite Payload Reconfiguration: An ILP Approach for Minimising Channel Interruptions. In 2nd ESA Workshop on Advanced Flexible Telecom Payloads (pp. 1-8). ESA. Peer reviewed |
 | Ruiz, P., Dorronsoro, B., & Bouvry, P. (2012). Finding Scalable Configurations for AEDB Broadcasting Protocol using Multi-objective Evolutionary. Cluster Computing, 16, 527-544. doi:10.1007/s10586-012-0220-0 Peer Reviewed verified by ORBi |
 | Ruiz, P., Dorronsoro, B., Bouvry, P., & Tardon, L. J. (2012). Information Dissemination in VANETs based upon a Tree Topology. Ad Hoc Networks, 10 (1), 111-127. doi:10.1016/j.adhoc.2011.06.005 Peer Reviewed verified by ORBi |
 | Dorronsoro, B., & Bouvry, P. (2012). Study of Different Small-world Topology Generation Mechanisms for Genetic Algorithms. In IEEE Congress on Evolutionary Computation (pp. 1580 - 1587). IEEE. doi:10.1109/CEC.2012.6256543 Peer reviewed |
 | Kliazovich, D., Bouvry, P., & Khan, S. U. (2012). Simulating Communication Processes in Energy-Efficient Cloud Computing Systems. In CLOUDNET (pp. 2015-2017). doi:10.1109/CloudNet.2012.6483687 Peer reviewed |
Muszynski, J., Varrette, S., Jimenez Laredo, J. L., Dorronsoro, B., & Bouvry, P. (2012). Convergence of Distributed Cellular Evolutionary Algorithms in Presence of Crash Faults and Cheaters [Paper presentation]. Proc. of the Intl. Conf. on Metaheuristics and Nature Inspired Computing (META'12). |
 | Bertholon, B., Varrette, S., & Bouvry, P. (2012). CERTICLOUD, une plate-forme Cloud IaaS sécurisée. Technique et Science Informatiques, 31 (8-9-10), 1121-1152. doi:10.3166/TSI.31.1121-1152 Peer reviewed |
 | Jimenez Laredo, J. L., Dorronsoro, B., Pecero, J., Bouvry, P., Durillo, J. J., & Fernandes, C. (2012). Designing a Self-organized Approach for Scheduling Bag-of-Tasks. In Designing a Self-organized Approach for Scheduling Bag-of-Tasks (pp. 315-320). doi:10.1109/3PGCIC.2012.28 Peer reviewed |
 | Seredynski, M., Danoy, G., Tabatabaei, M., Bouvry, P., & Pigné, Y. (2012). Generation of Realistic Mobility for VANETs Using Genetic Algorithms. Proceedings of the IEEE Congress on Evolutionary Computation, 1-8. doi:10.1109/CEC.2012.6252987 Peer reviewed |
 | Ruiz, P., & Bouvry, P. (2012). On the Improvement of the Enhanced Distance Based Broadcasting Algorithm. International Journal of Communication Networks and Distributed Systems, 9 (3/4), 225-246. doi:10.1504/IJCNDS.2012.048872 Peer Reviewed verified by ORBi |
Schütze, O., Coello, C. A. C., Bouvry, P., Tantar, A.-A., Moral, P. D., Tantar, E., & Legrand, P. (Eds.). (2012). EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Springer. |
 | Ruiz, P., Dorronsoro, B., Valentini, G., Pinel, F., & Bouvry, P. (2012). Optimisation of the enhanced distance based broadcasting protocol for MANETs. Journal of Supercomputing, 62 (3), 1213-1240. doi:10.1007/s11227-011-0564-x Peer reviewed |
 | Pinel, F., Dorronsoro, B., Pecero, J., Bouvry, P., & Khan, S. U. (2012). A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids. Cluster Computing. doi:10.1007/s10586-012-0207-x Peer Reviewed verified by ORBi |
 | Muszynski, J., Varrette, S., Bouvry, P., Seredynski, F., & Khan, S. U. (2012). Convergence Analysis of Evolutionary Algorithms in the Presence of Crash-Faults and Cheaters. Computers and Mathematics with Applications, 64 (12), 3805 - 3819. doi:10.1016/j.camwa.2012.03.004 Peer Reviewed verified by ORBi |
 | Pecero, J., Bouvry, P., Fraire Huacuja, H. J., & Khan, S. U. (2011). A Multi-objective GRASP Algorithm for Joint Optimization of Energy Consumption and Schedule Length of Precedence-Constrained Applications. In 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing (DASC) (pp. 510-517). IEEE. doi:10.1109/DASC.2011.97 Peer reviewed |
 | Pecero, J., Pinel, F., Bouvry, P., & Fraire Huacuja, H. J. (2011). A Multi-Objective GRASP for Energy-aware Scheduling. In International Congress on Computer Science Research (pp. 401-414). Peer reviewed |
 | Bertholon, B., Varrette, S., & Bouvry, P. (2011). CertiCloud: a Novel TPM-based Approach to Ensure Cloud IaaS Security. In 4th IEEE Intl. Conf. on Cloud Computing (CLOUD 2011) (pp. 121 - 130). IEEE Computer Society. doi:10.1109/CLOUD.2011.71 Peer reviewed |
 | Varrette, S., Bertholon, B., & Bouvry, P. (2011). A Signature Scheme for Distributed Executions based on Control flow Analysis. In 19th Intl. conference on Security and Intelligent Information Systems (SIIS 2011) (pp. 85-95). Springer. Peer reviewed |
 | Tantar, A.-A., Tantar, E., & Bouvry, P. (2011). Load balancing for sustainable ICT. In Load balancing for sustainable ICT (pp. 733-738). ACM. doi:10.1145/2001858.2002078 Peer reviewed |
 | Castro, H., Sotelo, G., Diaz, C., & Bouvry, P. (2011). Green Flexible Opportunistic Computing with Virtualization. In Proceedings of the 2011 IEEE 11th International Conference on Computer and Information Technology, CIT'11 (pp. 629-634). Washington, United States - District of Columbia: IEEE Computer Society. doi:10.1109/CIT.2011.105 Peer reviewed |
 | Diaz, C., Guzek, M., Pecero, J., Bouvry, P., & Khan, S. U. (2011). Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on (pp. 641-647). doi:10.1109/CIT.2011.106 Peer reviewed |
 | Danoy, G., Dorronsoro, B., & Bouvry, P. (2011). Multi-objective Cooperative Coevolutionary Algorithms for Robust Scheduling. In EVOLVE - A bridge between Probability, Set Oriented Numerics and Evolutionary Computation (pp. 1-4). Peer reviewed |
 | Dorronsoro, B., & Bouvry, P. (2011). Improving Classical and Decentralized Differential Evolution with New Mutation Operator and Population Topologies. IEEE Transactions on Evolutionary Computation, 15 (1), 67-98. doi:10.1109/TEVC.2010.2081369 Peer reviewed |
 | Dorronsoro, B., & Bouvry, P. (2011). Differential Evolution Algorithms with Cellular Populations. Lecture Notes in Computer Science, 6239, 320-330. doi:10.1007/978-3-642-15871-1_33 Peer reviewed |
 | Dorronsoro, B., & Bouvry, P. (2011). Adaptive Neighborhoods for Cellular Genetic Algorithms. Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Symposium (IPDPS) 2011 Workshop, 383-389. doi:10.1109/IPDPS.2011.168 Peer reviewed |
 | Dorronsoro, B., & Bouvry, P. (2011). On the use of Small-world Population Topologies for Genetic Algorithms. In EVOLVE 2011 A bridge between Probability, Set Oriented Numerics and Evolutionary Computation (pp. 1-3). Peer reviewed |
 | Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (2011). Energy-Aware Scheduling of Parallel Applications with Multi-Objective Evolutionary Algorithm. In EVOLVE 2011, A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Bourglinster Castle, Luxembourg, May 25-27 2011 (pp. 1-4). Peer reviewed |
Dorronsoro, B., Danoy, G., Bouvry, P., & Nebro, A. J. (2011). Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial Optimization. In Intelligent Decision Systems in Large-Scale Distributed Environments (pp. 49-74). Springer. Peer reviewed |
 | Danoy, G., Dorronsoro, B., & Bouvry, P. (2011). New State-of-the-art Results for Cassini2 Global Trajectory Optimization Problem. In International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1-6). Peer reviewed |
 | Diaz, C., Guzek, M., Pecero, J., Danoy, G., Bouvry, P., & Khan, S. U. (2011). Energy-Aware Fast Scheduling Heuristics in Heterogeneous Computing Systems. In High Performance Computing and Simulation (HPCS), 2011 International Conference on (pp. 478-484). doi:10.1109/HPCSim.2011.5999863 Peer reviewed |
 | Bertholon, B., Varrette, S., & Bouvry, P. (2011). CertiCloud: une plate-forme Cloud IaaS sécurisée. RenPar'20 2011, 0-10. Peer reviewed |
 | Varrette, S., Tantar, E., & Bouvry, P. (2011). On the Resilience of [Distributed] EAs against Cheaters in Global Computing Platforms. In 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2011) (pp. 409-417). IEEE. doi:10.1109/IPDPS.2011.179 Peer reviewed |
Bertholon, B., Varrette, S., & Bouvry, P. (2011). TPM-based Approaches to Improve Cloud Security [Paper presentation]. 2011 Grande Region Security and Reliability Day (SecDay 2011). |
 | Ruiz, P., Dorronsoro, B., & Bouvry, P. (2011). Optimization and Performance Analysis of the AEDB Broadcasting Algorithm. In IEEE International Workshop on Wireless Mesh and Ad Hoc Networks (pp. 1-6). IEEE. Peer reviewed |
 | Varrette, S., Muszynski, J., & Bouvry, P. (2011). Cheating impact on distributed Evolutionary Algorithms over BOINC computations. In n Proc. of the 19th Intl. conference on Security and Intelligent Information Systems (SIIS 2011). Peer reviewed |
 | Bertholon, B., Varrette, S., & Bouvry, P. (2011). A Signature Scheme for Distributed Executions based on Control flow Analysis. In Proc. of the 19th Intl. conference on Security and Intelligent Information Systems (SIIS 2011). Warsaw, Poland, Unknown/unspecified: Springer Verlag. Peer reviewed |
 | Varrette, S., Tantar, E., & Bouvry, P. (2011). On the Resilience of [distributed] Evolutionary Algorithms against Cheaters in Global Computing Platforms. In Proc. of the 14th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2011), part of the 25th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2011). Anchorage (Alaska), United States: IEEE Computer Society. Peer reviewed |
 | Tantar, E., Tantar, A.-A., & Bouvry, P. (2011). On dynamic multi-objective optimization - classification and performance measures. In On dynamic multi-objective optimization - classification and performance measures (pp. 2759-2766). doi:10.1109/CEC.2011.5949964 Peer reviewed |
 | Tantar, A.-A., Tantar, E., & Bouvry, P. (2011). A classification of dynamic multi-objective optimization problems. In A classification of dynamic multi-objective optimization problems (pp. 105-106). ACM. doi:10.1145/2001858.2001918 Peer reviewed |
Tantar, A.-A., Danoy, G., Bouvry, P., & Khan, S. (2011). Energy-Efficient Computing using Agent-Based Multi-Objective Dynamic Optimization. In J. H. Kim and M. J. Lee (Ed.), Green IT: Technologies and Applications (pp. 267-287). New York, NY, USA, Unknown/unspecified: Springer. Peer reviewed |
 | Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x Peer Reviewed verified by ORBi |
 | Pinel, F., Danoy, G., & Bouvry, P. (2011). Evolutionary Algorithm Parameter Tuning with Sensitivity Analysis. In Security and Intelligent Information Systems. Springer. doi:10.1007/978-3-642-25261-7_16 Peer reviewed |
 | Pinel, F., Pecero, J., Bouvry, P., & Khan, S. U. (2011). A two-phase heuristic for the scheduling of independent tasks on computational grids. In High Performance Computing and Simulation (HPCS), 2011 International Conference on (pp. 471-477). IEEE. doi:10.1109/HPCSim.2011.5999862 Peer reviewed |
Pinel, F., & Bouvry, P. (2011). A Model for Energy-efficient Task Mapping on Milliclusters. Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, 0-32. doi:10.4203/ccp.95.32 |
 | Pigné, Y., Danoy, G., & Bouvry, P. (2011). A Vehicular Mobility Model based on Real Traffic Counting Data. In 3rd International Workshop on Communication Technologies for Vehicles (pp. 131-142). Springer-Verlag. Peer reviewed |
 | Pigné, Y., Danoy, G., & Bouvry, P. (2011). Sensitivity analysis for a realistic vehicular mobility model. In DIVANet'11 -International conference on Communication technologies for vehicles (pp. 31-38). ACM. doi:10.1145/2069000.2069007 Peer reviewed |
 | Pinel, F., Pecero, J., Bouvry, P., & Khan, S. U. (2011). Energy-efficient scheduling on milliclusters with performance constraints. In Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on. doi:10.1109/GreenCom.2011.16 Peer reviewed |
 | Pinel, F., Pecero, J., Bouvry, P., & Khan, S. (2011). A Review on Task Performance Prediction in Multi-core Based Systems. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on. doi:10.1109/CIT.2011.107 Peer reviewed |
Pecero, J., Pinel, F., Dorronsoro, B., Danoy, G., Bouvry, P., & Zomaya, A. (2011). Efficient Hierarchical Task Scheduling on GRIDS Accounting for Computation and Communications. In P. Bouvry, H. González-Vélez, ... J. Kolodziej (Eds.), Intelligent Decision Systems in Large-Scale Distributed Environments, 362. Springer. Peer reviewed |
 | Pecero, J., Varrette, S., & Bouvry, P. (October 2010). Scheduling DAG applications on multi-core processor packages architectures [Paper presentation]. International Conference on Metaheuristics and Nature Inspired Computing 2010, Tunisia. |
 | Pinel, F., Pecero, J., Bouvry, P., & Khan, S. (2010). Memory-aware Green Scheduling on Multi-core Processors. Proceedings of the Second International Workshop on Green Computing, 485 - 488. doi:10.1109/ICPPW.2010.71 Peer reviewed |
 | Pecero, J., Bouvry, P., & Barrios, C. J. (2010). Low energy and high performance scheduling on scalable computing systems. In Proceedings of the Latin-American Conference on High Performance Computing (CLCAR 2010) (pp. 1-8). Peer reviewed |
 | Pecero, J., & Bouvry, P. (2010). An improved genetic algorithm for efficient scheduling on distributed memory parallel systems. In ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010 (pp. 1 - 8). IEEE. doi:10.1109/AICCSA.2010.5587030 Peer reviewed |
 | Kliazovich, D., Bouvry, P., & Khan, S. U. (2010). DENS: Data Center Energy-Efficient Network-Aware Scheduling. In IEEE/ACM International Conference on Green Computing and Communications (GreenCom), Hangzhou, China, 2010 (pp. 69 - 75). doi:10.1109/GreenCom-CPSCom.2010.31 Peer reviewed |
 | Ruiz, P., & Bouvry, P. (2010). Enhanced Distance Based Broadcasting Protocol with Reduced Energy Consumption. In HPCS (pp. 249-258). IEEE. doi:10.1109/HPCS.2010.5547129 Peer reviewed |
 | Ruiz, P., & Bouvry, P. (2010). Distributed Energy Self-Adaptation in ad hoc Networks. In IEEE Globecom (pp. 524-528). doi:10.1109/GLOCOMW.2010.5700375 Peer reviewed |
 | Schleich, J., Danoy, G., Bouvry, P., & Le Thi, H. A. (2010). On quantifying the quality of CDS-based virtual backbones in mobile ad hoc networks. In ACM International Symposium on Mobility Management and Wireless Access (pp. 21-28). doi:10.1145/1868497.1868501 Peer reviewed |
 | Dorronsoro, B., Cañero, J. A., Danoy, G., & Bouvry, P. (2010). A New Parallel Multi-objective Cooperative Coevolutionary Algorithm Based on SPEA2. In ALIO-INFORMS Joint International Meeting 2010 (pp. 1-2). Peer reviewed |
 | Danoy, G., Gaspar Pinto, F., Dorronsoro, B., & Bouvry, P. (2010). Hybrid Cellular Genetic Algorithm for Global Trajectory Optimization Problem. In International Conference on Metaheuristics and Nature Inspired Computing (pp. 1-2). Peer reviewed |
 | Dorronsoro, B., Bouvry, P., Cañero, J. A., Maciejewski, A. A., & Siegel, H. J. (2010). Multi-objective Robust Static Mapping of Independent Tasks on Grids. In World Conference in Computational Intelligence (WCCI) (pp. 3389-3396). IEEE. doi:10.1109/CEC.2010.5586495 Peer reviewed |
 | Guzek, M., Pecero, J., Dorronsoro, B., Bouvry, P., & Khan, S. U. (2010). A Cellular Genetic Algorithm for Scheduling Applications and Energy-Aware Communication Optimization. In Proceedings of the 2010 International Conference on High Performance Computing & Simulation (pp. 241-248). doi:10.1109/HPCS.2010.5547124 Peer reviewed |
 | Dorronsoro, B., Bouvry, P., & Alba, E. (2010). Iterated Local Search for de Novo Genomic Sequencing. Lecture Notes in Computer Science, 6114, 428-436. doi:10.1007/978-3-642-13232-2_52 Peer reviewed |
 | Danoy, G., Bouvry, P., & Boissier, O. (2010). A Multi-Agent Organizational Framework for Coevolutionary Optimization. Lecture Notes in Computer Science, 4, 199-224. doi:10.1007/978-3-642-18222-8_9 Peer reviewed |
 | Pigné, Y., Danoy, G., & Bouvry, P. (2010). A Platform for Realistic Online Vehicular Network Management. In GLOBECOM 2010 (pp. 1-5). doi:10.1109/GLOCOMW.2010.5700389 Peer reviewed |
 | Pinel, F., Dorronsoro, B., & Bouvry, P. (2010). A New Parallel Asynchronous Cellular Genetic Algorithm for Scheduling in Grids. In Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on (pp. 1-8). IEEE. doi:10.1109/IPDPSW.2010.5470698 Peer reviewed |
Pinel, F., Dorronsoro, B., & Bouvry, P. (2010). On the Parallelization of Asynchronous Cellular Genetic Algorithms for Multi-core Architectures [Paper presentation]. ALIO-INFORMS Joint International Meeting, Buenos Aires, Argentina. |
 | Pinel, F., Dorronsoro, B., & Bouvry, P. (2009). A new parallel asynchronous cellular genetic algorithm for de novo genomic sequencing. In 2009 International Conference of Soft Computing and Pattern Recognition (pp. 178--183). doi:10.1109/SoCPaR.2009.45 Peer reviewed |
 | Dunlop, D., Varrette, S., & Bouvry, P. (September 2009). Deskilling HPL - Using an Evolutionary Algorithm to Automate Cluster Benchmarking. Proceedings of 8th Intl. conf. on Parallel Processing and Applied Mathematics (PPAM 2009), 6068 (LNCS), 102--114. doi:10.1007/978-3-642-14403-5 Peer reviewed |
 | Ostaszewski, M., Bouvry, P., & Seredynski, F. (2009). Multiobjective Classification with moGEP: An Application in the Network Traffic Domain. GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 635–642. doi:10.1145/1569901.1569989 Peer reviewed |
 | Kliazovich, D., Bouvry, P., Audzevich, Y., & Khan, S. U. (2009). GreenCloud: A Packet-level Simulator of Energy-aware Cloud Computing Data Centers. In IEEE Global Communications Conference (GLOBECOM), Miami, FL, USA, 2009 (pp. 1 - 5). Peer reviewed |
 | Danoy, G., Dorronsoro, B., Bouvry, P., & Franck, Z. (2009). Multi-objective Optimization for Information Sharing in Vehicular Ad Hoc Networks. In IAIT '09: Proceedings of the 3rd International Conference on Advances in Information Technology. Springer. Peer reviewed |
 | Schleich, J., Danoy, G., Bouvry, P., & Le Thi Hoai, A. (2009). Blackbone2, an Efficient Deterministic Algorithm for creating 2-Connected m-dominating Set-based Backbones in Ad Hoc Networks. In MOBIWAC - International Symposium on Mobility Management and Wireless Access (pp. 91-98). doi:10.1145/1641776.1641791 Peer reviewed |
 | Danoy, G., Dorronsoro, B., & Bouvry, P. (2009). Overcoming partitioning in large ad hoc networks using genetic algorithms. In GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (pp. 1347–1354). ACM. doi:10.1145/1569901.1570082 Peer reviewed |
 | Danoy, G., Bouvry, P., & Boissier, O. (2009). Multi Agent Organisation for Coevolutionary Optimization. In 1st International Workshop on Organizational Modeling (ORGMOD'09) (pp. 34 – 49). Peer reviewed |
 | Dorronsoro, B., Ruiz, P., Danoy, G., Bouvry, P., & Tardon, L. J. (2009). Uso de Redes Hibridas para la Mejora de la Conectividad en VANETs. Proceedings of national Conference on Metaheuristicas, Algoritmos Evolutivos y Bioinspirados(MAEB'09), 115-122. Peer reviewed |
 | Dorronsoro, B., Ruiz, P., Danoy, G., Bouvry, P., & Tardon, L. (2009). Towards Connectivity Improvement in VANETs using Bypass Links. Abstract book of 2009 IEEE Congress on Evolutionary Computation, 2201–2208. doi:10.1109/CEC.2009.4983214 Peer reviewed |
 | Pinel, F., & Bouvry, P. (2009). Weakness analysis of a key stream generator based on cellular automata. In International Conference on Parallel Processing and Applied Mathematics (pp. 547--552). Peer reviewed |
 | Danoy, G., Bouvry, P., & Boissier, O. (2009). A Multi-Agent Organizational Model for Coevolutionary Optimization. In ANNIE '09: Proceedings of the 19th international conference on Articial Neural Networks In Engineering (to appear). ASME Press Series. Peer reviewed |
 | Berhe, G., Peters, B., Varrette, S., & Bouvry, P. (2009). Parallel implementation of domain decomposition algorithm for molecular dynamics. In PARENG 2007 (pp. 1-19). Civil-Comp Press. Peer reviewed |
Varrette, S., Bertholon, B., & Bouvry, P. (2009). A Signature Scheme for Distributed Executions based on Macro-Dataflow Analysis [Paper presentation]. 2nd Int. Workshop on Remote Entrusting (Re-Trust 2009). |
 | Piyatumrong, A., Ruiz, P., Bouvry, P., Guinand, F., & Lavangnananda, K. (2009). Token Traversal Strategies of a Distributed Spanning Forest Algorithm in Mobile Ad hoc - Delay Tolerant Networks. In IAIT (pp. 96-109). Springer Berlin Heidelberg. doi:10.1007/978-3-642-10392-6 Peer reviewed |
 | Seredynski, M., Ignac, T., & Bouvry, P. (2009). Probabilistic Packet Relaying in Wireless Mobile Ad Hoc Network. Parallel Processing and Applied Mathematics. doi:10.1007/978-3-642-14390-8_4 Peer reviewed |
 | Ostaszewski, M., Bouvry, P., & Seredynski, F. (2008). Adaptive and Dynamic Intrusion Detection by Means of Idiotypic Networks Paradigm. The 21th IEEE International Parallel and Distributed Processing Symposium (IPDPS), NIDISC Workshop, 1–8. doi:10.1109/IPDPS.2008.4536377 Peer reviewed |
Dorronsoro, B., Danoy, G., Bouvry, P., & Alba, E. (2008). Evaluation of Different Optimization Techniques in the Design of Ad Hoc Injection Networks. In special session on Parallel and Grid Computing for Optimization as part of The 2008 International Conference High Performance Computing & Simulation (HPCS008) and in conjunction with The 22nd European Conference on Modeling and Simulation (ECMS 2008). Peer reviewed |
Hogie, L., Danoy, G., Bouvry, P., & Guinand, F. (2008). A Context-Aware Broadcast Protocol for Mobile Wireless Networks. In Second International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2008). Springer. Peer reviewed |
Ostaszewski, M., Bouvry, P., & Seredynski, F. (2008). An Approach to Intrusion Detection by Means of Idiotypic Networks Paradigm. IEEE World Congress on Computational Intelligence, WCCI 2008, Congress on Evolutionary Computation CEC 2008, Honk-Kong, June. doi:10.1109/CEC.2008.4631077 Peer reviewed |
Danoy, G., Alba, E., & Bouvry, P. (2008). Optimal Interconnection of Ad Hoc Injection Networks. Journal of Interconnection Networks, 9 (3), 277–297. doi:10.1142/S0219265908002278 Peer reviewed |
Dunlop, D., Varrette, S., & Bouvry, P. (2008). On the Use of a Genetic Algorithm in High Performance Computer Benchmark Tuning. In IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS'08) (pp. 105–113). Peer reviewed |
Varrette, S., Ostaszewski, M., & Bouvry, P. (2008). Nature inspired Algorithm-Based Fault Tolerance on Global Computing Platforms. Application to Symbolic Regression. International Conference on Metaheuristics and Nature Inspired Computing (META'08). Peer reviewed |
 | Ruiz, P., Khadraoui, D., Andronache, A., Dorronsoro, B., Bouvry, P., & Tardon, L. (2008). BODYF - A Parameterless Broadcasting Protocol over Dynamic Forests. special session on Parallel and Grid Computing for Optimization as part of The 2008 International Conference High Performance Computing & Simulation (HPCS'08) and in conjunction with The 22nd European Conference on Modeling and Simulation (ECMS 2008). Peer reviewed |
 | Ostaszewski, M., Seredynski, F., & Bouvry, P. (2007). Coevolutionary-based Mechanisms for Network Anomaly Detection. Journal of Mathematical Modelling and Algorithms, 6 (3), 411-431. doi:10.1007/s10852-007-9061-x Peer reviewed |
Danoy, G., Bouvry, P., & Hogie, L. (2007). Coevolutionary Genetic Algorithms for Ad Hoc Injection Networks Design Optimization. In Congress on Evolutionary Computation (CEC) (pp. 3554-3560). IEEE Computer Society. doi:10.1109/CEC.2007.4425029 Peer reviewed |
Danoy, G., Bouvry, P., & Alba, E. (2007). Distributed Coevolutionary Genetic Algorithm for Optimal Design of Ad Hoc Injection Networks. In The 21st European Conference on Modeling and Simulation (ECMS 2007). Peer reviewed |
Danoy, G., Bouvry, P., Brust, M. R., & Alba, E. (2007). Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms. In 9th annual conference on Genetic and evolutionary computation (GECCO '07). ACM Press. doi:10.1145/1276958.1277391 Peer reviewed |
Bouvry, P., Dumas, J.-G., Gillard, R., Roch, J.-L., & Varrette, S. (2006). chap "Cryptographie à clef secréte". In Sécurité Multimédia: Cryptographie et Sécurité Systèmes et Réseaux. Lavoisier-Hermes. Peer reviewed |
Bouvry, P., Dumas, J.-G., Gillard, R., Roch, J.-L., & Varrette, S. (2006). chapter "Cryptographie à Clé Secrète". In Sécurité Multimédia: Cryptographie et Sécurité Systèmes et Réseaux (pp. 23--101). Hermès. Peer reviewed |
Danoy, G., Bouvry, P., & Martins, T. (2006). hLCGA: A Hybrid Competitive Coevolutionary Genetic Algorithm. In HIS'06: Proceedings of the 6th international conference on Hybrid Intelligent Systems (pp. 48-51). IEEE Computer Society. doi:10.1109/HIS.2006.264931 Peer reviewed |
Hogie, L., Bouvry, P., Guinand, F., Danoy, G., & Alba, E. (2006). Simulating Realistic Mobility Models for Large Heterogeneous MANETs. In 9th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM'06) (pp. 129-141). IEEE. Peer reviewed |
Danoy, G., Bouvry, P., & Seredynski, F. (2006). Evaluations of Strategies for Co-Evolutionary Genetic Algorithms: dLCGA Case Study. In ANNIE 2006: Proceedings of the 16th international conference on Artificial Neural Networks In Engineering (pp. 91–96). ASME. Peer reviewed |
Bernard, N., Bouvry, P., Denneulin, Y., & Varrette, S. (2006). Sécurité Réseau. In F. Leprévost, T. Ebrahimi, ... B. Warusfel (Eds.), Cryptographie et sécurité de systèmes et réseaux (pp. 343–391). Lavoisier-Hermes. |
Danoy, G., Bouvry, P., & Boissier, O. (2005). Dafo, a multi-agent framework for decomposable functions optimization. In 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005) (pp. 626-632). Springer. Peer reviewed |
 | Danoy, G., Bouvry, P., & Boissier, O. (2005). Un framework multi-agent pour algorithmes génétiques coévolutionnaires distribués. In Proceedings of the ROADEF. Peer reviewed |
Danoy, G., Bouvry, P., & Seredynski, F. (2004). Agent-based optimization of business functions using coevolutionary algorithms: the distributed warehouse management case study. AISTA 2004 (International Conference on Advances in Intelligent Systems - Theory and Applications) organized in cooperation with the IEEE Computer Society. Peer reviewed |
Danoy, G., Bouvry, P., & Seredynski, F. (2004). Agent-Based Optimization of Business Functions Using Coevolutionary Algorithms. In Proceedings of the International Conference on Information and Knowledge Engineering (pp. 109-112). CSREA Press. Peer reviewed |
Bouvry, P., Chassin, J., Dobrucky, M., Hluchy, L., Luque, E., & Margalef, T. (1994). Mapping and load balancing on distributed memory systems. µP'94, Eight Symposium on Computer and Microprocessor Applications. Peer reviewed |
 | Tariq, M. A., Marcu, O.-C., Danoy, G., & Bouvry, P. (n.d.). Towards Unified Data Ingestion and Transfer for the Computing Continuum. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55900. |