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02/08/2022
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
In recent years, Deep Learning models have shown a great performance in ...
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02/04/2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
In this work we consider multitasking in the context of solving multiple...
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10/08/2020
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
Transfer Optimization is an incipient research area dedicated to the sim...
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08/09/2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Much has been said about the fusion of bio-inspired optimization algorit...
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05/11/2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking
Multitasking optimization is a recently introduced paradigm, focused on ...
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05/11/2020
On the Transferability of Knowledge among Vehicle Routing Problems by using a Cellular Evolutionary Multitasking
Multitasking optimization is a recently introduced paradigm, focused on ...
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04/14/2020
dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems
The emerging research paradigm coined as multitasking optimization aims ...
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03/24/2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis
Multitasking optimization is an incipient research area which is lately ...
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02/25/2020
