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Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges.

, , , , , , , and . CoRR, (2020)

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AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking., , , , and . CoRR, (2020)AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking., , , , and . Inf. Sci., (2021)A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization., , , and . CEC, page 1-8. IEEE, (2022)Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions., , and . CoRR, (2021)Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges., , , , , , , and . Inf. Fusion, (2021)Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization., , , and . CEC, page 1-8. IEEE, (2020)Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards., , , and . IJCNN, page 1-10. IEEE, (2021)Hybridizing differential evolution and novelty search for multimodal optimization problems., , , , , and . GECCO (Companion), page 1980-1989. ACM, (2019)Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning., , , and . IEEE Trans. Evol. Comput., 26 (2): 233-247 (2022)Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions., , , and . Cogn. Comput., 14 (3): 927-954 (2022)