A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems

Genetic algorithms (GAs) belong to the category of evolutionary algorithms and are frequently utilized for resolving challenging combinatorial problems. However, they typically require customization to suit a particular problem type, and their performance is heavily influenced by numerous hyperparam...

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Bibliographic Details
Main Authors: Christian Perez, Carlos March, Miguel A. Salido
Format: Article
Language:English
Published: LibraryPress@UF 2023-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
Online Access:https://journals.flvc.org/FLAIRS/article/view/133366
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