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Aritz D. Martinez
Aritz D. Martinez
TECNALIA, Basque Research and Technology Alliance
Verified email at tecnalia.com
Title
Cited by
Cited by
Year
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
162021
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
122022
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
102020
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
102020
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
102020
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
72021
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
72021
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
62020
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
52019
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
42018
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
32021
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, ...
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