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ORCIDAritz D. Martinez
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2020 – today
- 2023
[j5]Javier Poyatos
, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks 158: 59-82 (2023)- 2022
- [j4]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Amir Hussain:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions. Cogn. Comput. 14(3): 927-954 (2022) - [j3]Aritz D. Martinez, Javier Del Ser, Eneko Osaba, Francisco Herrera:
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning. IEEE Trans. Evol. Comput. 26(2): 233-247 (2022) - [c9]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo:
A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization. CEC 2022: 1-8 - [i8]Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks. CoRR abs/2202.03844 (2022) - 2021
- [j2]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67: 161-194 (2021) - [j1]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. Inf. Sci. 570: 577-598 (2021) - [c8]Alain Andres, Esther Villar-Rodriguez, Aritz D. Martinez, Javier Del Ser:
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. IJCNN 2021: 1-10 - [c7]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Antonio J. Nebro, Xin-She Yang:
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. SSCI 2021: 1-8 - [c6]Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera:
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. SSCI 2021: 1-7 - [i7]Eneko Osaba, Aritz D. Martinez, Javier Del Ser:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions. CoRR abs/2102.02558 (2021) - 2020
- [c5]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization. CEC 2020: 1-8 - [c4]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CEC 2020: 1-8 - [c3]Eneko Osaba, Aritz D. Martinez, Akemi Gálvez, Andrés Iglesias, Javier Del Ser:
dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems. GECCO Companion 2020: 1690-1696 - [c2]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser:
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking. ITSC 2020: 1-8 - [i6]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization. CoRR abs/2002.12133 (2020) - [i5]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CoRR abs/2003.10768 (2020) - [i4]Eneko Osaba, Aritz D. Martinez, Akemi Gálvez, Andrés Iglesias, Javier Del Ser:
dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems. CoRR abs/2004.06559 (2020) - [i3]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser:
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking. CoRR abs/2005.05066 (2020) - [i2]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges. CoRR abs/2008.03620 (2020) - [i1]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. CoRR abs/2010.03917 (2020)
2010 – 2019
- 2019
- [c1]Aritz D. Martinez, Eneko Osaba, Izaskun Oregi, Iztok Fister Jr., Iztok Fister, Javier Del Ser:
Hybridizing differential evolution and novelty search for multimodal optimization problems. GECCO (Companion) 2019: 1980-1989
Coauthor Index
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