Reinforcement Learning Based Whale Optimizer

Marcelo Becerra-Rozas, José Lemus-Romani, Broderick Crawford, Ricardo Soto, Felipe Cisternas-Caneo, Andrés Trujillo Embry, Máximo Arnao Molina, Diego Tapia, Mauricio Castillo, Sanjay Misra, José Miguel Rubio

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This work proposes a Reinforcement Learning based optimizer integrating SARSA and Whale Optimization Algorithm. SARSA determines the binarization operator required during the metaheuristic process. The hybrid instance is applied to solve benchmarks of the Set Covering Problem and it is compared with a Q-learning version, showing good results in terms of fitness, specifically, SARSA beats its Q-Learning version in 44 out of 45 instances evaluated. It is worth mentioning that the only instance where it does not win is a tie. Finally, thanks to graphs presented in our results analysis we can observe that not only does it obtain good results, it also obtains a correct exploration and exploitation balance as presented in the referenced literature.

Idioma originalInglés
Título de la publicación alojadaComputational Science and Its Applications – ICCSA 2021 - 21st International Conference, Proceedings
EditoresOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas205-219
Número de páginas15
ISBN (versión impresa)9783030870126
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online
Duración: 13 sept. 202116 sept. 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12957 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia21st International Conference on Computational Science and Its Applications, ICCSA 2021
CiudadVirtual, Online
Período13/09/2116/09/21

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