Obserwuj
Aritz D. Martinez
Aritz D. Martinez
TECNALIA, Basque Research and Technology Alliance
Zweryfikowany adres z tecnalia.com
Tytuł
Cytowane przez
Cytowane przez
Rok
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
612022
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
422021
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
392021
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
322021
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
222023
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
202020
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
162020
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
142020
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
102020
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
92021
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
92019
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
62021
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
52018
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
22021
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
12022
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, ...
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–17