Nielsen, S. S., Ostaszewski, M., McGee, F., Hoksza, D., & Zorzan, S. (2019). Machine Learning to Support the Presentation of Complex Pathway Graphs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi:10.1109/TCBB.2019.2938501 Peer Reviewed verified by ORBi |
Nielsen, S. S. (2016). Diversity Preserving Genetic Algorithms - Application to the Inverted Folding Problem and Analogous Formulated Benchmarks [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/28226 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |