| Evolutionary multitask optimization: a methodological overview, challenges, and future research directions E Osaba, J Del Ser, AD Martinez, A Hussain Cognitive Computation 14 (3), 927-954, 2022 | 58 | 2022 |
| 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 | 42 | 2021 |
| 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 | 38 | 2021 |
| 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 | 32 | 2021 |
| 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 | 20 | 2020 |
| EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks J Poyatos, D Molina, AD Martinez, J Del Ser, F Herrera Neural Networks 158, 59-82, 2023 | 18 | 2023 |
| 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 | 16 | 2020 |
| 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 | 14 | 2020 |
| 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 | 10 | 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 | 9 | 2019 |
| 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 | 8 | 2021 |
| 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 | 6 | 2021 |
| 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 | 5 | 2018 |
| 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 | 2 | 2021 |
| A multifactorial cellular genetic algorithm for multimodal multitask optimization E Osaba, J Del Ser, AD Martinez, JL Lobo 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 1 | 2022 |
| EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks J Poyatos Amador, D Molina Cabrera, AD Martínez, J Del Ser, ... | | 2023 |
| SPECIAL ISSUE ON MULTITASK EVOLUTIONARY COMPUTATION T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel, AD Martinez, J Del Ser, ... | | |
Javier (Javi) Del SerTECNALIA, University of the Basque Country (UPV/EHU), University of GranadaVerified email at tecnalia.com
