Aritz D. Martinez
Orcid: 0000-0003-1563-9643
According to our database1,
Aritz D. Martinez
authored at least 15 papers
between 2019 and 2023.
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Online presence:
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Bibliography
2023
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Neural Networks, January, 2023
2022
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning.
IEEE Trans. Evol. Comput., 2022
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions.
Cogn. Comput., 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci., 2021
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions.
CoRR, 2021
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Hybridizing differential evolution and novelty search for multimodal optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019