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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Vydané v:	Applied soft computing Ročník 180; s. 113436
Hlavní autori:	Manafi, Ehsan, Domenech, Bruno, Tavakkoli-Moghaddam, Reza, Ranaboldo, Matteo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2025
Predmet:	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
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