| Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges AD Martinez, J Del Ser, E Villar-Rodriguez, E Osaba, J Poyatos, S Tabik, ... Information Fusion 67, 161-194, 2021 | 16 | 2021 |
| Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions E Osaba, J Del Ser, AD Martinez, A Hussain Cognitive Computation, 1-28, 2022 | 12 | 2022 |
| Multifactorial cellular genetic algorithm (mfcga): Algorithmic design, performance comparison and genetic transferability analysis E Osaba, AD Martinez, JL Lobo, J Del Ser, F Herrera 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 10 | 2020 |
| dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems E Osaba, AD Martinez, A Galvez, A Iglesias, JD Ser Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 10 | 2020 |
| Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization AD Martinez, E Osaba, J Del Ser, F Herrera 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 10 | 2020 |
| AT-MFCGA: An adaptive transfer-guided multifactorial cellular genetic algorithm for evolutionary multitasking E Osaba, J Del Ser, AD Martinez, JL Lobo, F Herrera Information Sciences 570, 577-598, 2021 | 7 | 2021 |
| Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning AD Martinez, J Del Ser, E Osaba, F Herrera IEEE Transactions on Evolutionary Computation 26 (2), 233-247, 2021 | 7 | 2021 |
| On the transferability of knowledge among vehicle routing problems by using cellular evolutionary multitasking E Osaba, AD Martinez, JL Lobo, I Laña, J Del Ser 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 6 | 2020 |
| Hybridizing differential evolution and novelty search for multimodal optimization problems AD Martinez, E Osaba, I Oregi, I Fister, I Fister, JD Ser Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 5 | 2019 |
| Let nature decide its nature: On the design of collaborative hyperheuristics for decentralized ephemeral environments AD Martinez, E Osaba, MN Bilbao, J Del Ser Future Generation Computer Systems 88, 792-805, 2018 | 4 | 2018 |
| Collaborative exploration and reinforcement learning between heterogeneously skilled agents in environments with sparse rewards A Andres, E Villar-Rodriguez, AD Martinez, J Del Ser 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 3 | 2021 |
| EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks J Poyatos, D Molina, A Martinez, J Del Ser, F Herrera arXiv preprint arXiv:2202.03844, 2022 | | 2022 |
| More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems J Del Ser, E Osaba, AD Martinez, MN Bilbao, J Poyatos, D Molina, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | | 2021 |
| MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking E Osaba, J Del Ser, AD Martinez, JL Lobo, AJ Nebro, XS Yang 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | | 2021 |
| SPECIAL ISSUE ON MULTITASK EVOLUTIONARY COMPUTATION T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel, AD Martinez, J Del Ser, ... | | |
Javier Del SerResearch Professor in Artificial Intelligence (TECNALIA), adjunct professor (UPV/EHU)Verified email at tecnalia.com
