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...

Celý popis

Podrobná bibliografie

Vydáno v:	Applied soft computing Ročník 180; s. 113436
Hlavní autoři:	Manafi, Ehsan, Domenech, Bruno, Tavakkoli-Moghaddam, Reza, Ranaboldo, Matteo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.08.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!