A self-learning whale optimization algorithm based on reinforcement learning for a dual-resource flexible job shop scheduling problem

One of the key areas in which production systems researchers are working these days is to find advanced optimization algorithms to efficiently schedule activities in manufacturing systems, which requires more sophisticated models with increased computational complexity. Therefore, there has been gro...

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Bibliographic Details

Published in:	Applied soft computing Vol. 180; p. 113436
Main Authors:	Manafi, Ehsan, Domenech, Bruno, Tavakkoli-Moghaddam, Reza, Ranaboldo, Matteo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2025
Subjects:	Flexible job shop scheduling Machine learning Meta-heuristics Reconfigurable manufacturing systems Reinforcement learning Reconfigurable manufacturing systems Flexible job shop scheduling Machine learning Reinforcement learning Meta-heuristics
ISSN:	1568-4946
Online Access:	Get full text
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