  | FELTEN, F., TALBI, E.-G., & DANOY, G. (26 February 2024). Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework. Journal of Artificial Intelligence Research, 79, 679-723. doi:10.1613/jair.1.15702  Peer Reviewed verified by ORBi |
  | STOLFI ROSSO, D., & DANOY, G. (February 2024). Evolutionary swarm formation: From simulations to real world robots. Engineering Applications of Artificial Intelligence, 128, 107501. doi:10.1016/j.engappai.2023.107501 Peer Reviewed verified by ORBi |
 | FELTEN, F.* , Alegre, L. N.* , Nowé, A., L. C. Bazzan, A., TALBI, E.-G., DANOY, G., & C. da Silva, B. (2024). A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. In A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. United States: Curran Associates. Peer reviewed* These authors have contributed equally to this work. |
 | 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 |
 | FELTEN, F., GAREEV, D., TALBI, E.-G., & DANOY, G. (October 2023). Hyperparameter Optimization for Multi-Objective Reinforcement Learning [Paper presentation]. Multi-Objective Decision Making Workshop (MoDeM), Krakow, Poland. doi:10.48550/arXiv.2310.16487 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 |
 | STOLFI ROSSO, D., & DANOY, G. (2023). Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 771-774). Association for Computing Machinery, Inc. doi:10.1145/3583133.3590651 Peer reviewed |
 | STOLFI ROSSO, D., & DANOY, G. (June 2023). Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator. Robotics and Autonomous Systems, 164, 104412. doi:10.1016/j.robot.2023.104412 Peer Reviewed verified by ORBi |
 | STOLFI ROSSO, D., & DANOY, G. (May 2023). Optimising Robot Swarm Formations by Using Surrogate Models and Simulations. Applied Sciences, 13 (10), 5989. doi:10.3390/app13105989 Peer Reviewed verified by ORBi |
 | STOLFI ROSSO, D., & DANOY, G. (2023). Evaluating Surrogate Models for Robot Swarm Simulations. In Optimization and Learning - 6th International Conference, OLA 2023, Proceedings (pp. 224-235). Switzerland: Springer Nature Switzerland. doi:10.1007/978-3-031-34020-8_17 Peer reviewed |
 | 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 |
 | Alegre, L. N., Felten, F., Talbi, E.-G., Danoy, G., Nowé, A., Bazzan, A., & da Silva, B. (November 2022). MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments [Paper presentation]. BNAIC/BeNeLearn 2022, Mechelen, Belgium. |
 | Stolfi Rosso, D., & Danoy, G. (11 October 2022). An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System. Applied Sciences, 12 (20). doi:10.3390/app122010218 Peer Reviewed verified by ORBi |
 | Stolfi Rosso, D., & Danoy, G. (2022). Optimising Autonomous Robot Swarm Parameters for Stable Formation Design. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1281-1289). doi:10.1145/3512290.3528709 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 |
 | Felten, F., Talbi, E.-G., & Danoy, G. (2022). MORL/D: Multi-Objective Reinforcement Learning based on Decomposition. In International Conference in Optimization and Learning (OLA2022). doi:10.5220/0010989100003116 Peer reviewed |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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). |
 | 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 |
 | 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 |
 | Danoy, G., Pang, J., & Sutcliffe. (2020). Proceedings of the 6th Global Conference on Artificial Intelligence (GCAI 2020). In 6th Global Conference on Artificial Intelligence. Easychair. 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 |
 | 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 |
Danoy, G., Baz, D. E., Boyer, V., Dorronsoro, B., Yang, L. T., & Li, K. (2020). IEEE Workshop on Parallel / Distributed Combinatorics and Optimization (PDCO 2020). In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020 (pp. 489). IEEE. doi:10.1109/IPDPSW50202.2020.00089 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
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 |
 | 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. |
 | 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 |
 | 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. |
 | 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 |
 | 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 |
 | Danoy, G., Baz, D. E., Boyer, V., & Dorronsoro, B. (2018). Introduction to PDCO 2018. In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2018, Vancouver, BC, Canada, May 21-25 2018. IEEE Computer Society. doi:10.1109/IPDPSW.2018.00099 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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. |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | Kieffer, E., Danoy, G., & Bouvry, P. (April 2016). On Bi-level approach for Scheduling problems [Paper presentation]. New Challenges in Scheduling Theory. |
 | 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 |
 | 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 |
Danoy, G., Jourdan, L., Talbi, E.-G., & Nesmachnow, S. (2016). Foreword. International. |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | Aravanis, A., Shankar, B., Arapoglou, P.-D., Danoy, G., Cottis, P. G., & Ottersten, B. (2015). Power Allocation in Multibeam Satellite Systems: A Two-Stage Multi-Objective Optimization. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2015.2402682 Peer Reviewed verified by ORBi |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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. |
 | 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 |
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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | Danoy, G. (2013). Editorial: special issue on parallel nature-inspired optimization. Journal of Supercomputing, 63 (3), 737-739. doi:10.1007/s11227-012-0820-8 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 |
 | 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 |
 | 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 |
 | Aravanis, A., Shankar, B., Danoy, G., Arapoglou, P.-D., Cottis, P., & Ottersten, B. (2012). Power allocation in Multibeam satellites - A hybrid-Genetic Algorithm approach. In ESA Workshop on Advanced Flexible Telecom Payloads (pp. 1-5). European Space Agency. 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 |
 | Aravanis, A., Shankar, B., Danoy, G., Arapoglou, P.-D., Cottis, P., & Ottersten, B. (2012). Multi-objective Optimization Approach to Power Allocation in Multibeam Systems. In Proceedings of 30th AIAA International Communications Satellite Systems Conference (ICSSC) (pp. 1-6). 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 |
 | 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., 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 |
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 |
 | 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 |
 | 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 |
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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
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 |
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 |
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 |
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 |
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 |
 | 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. |
