Adaptive knowledge-based multi-objective evolutionary algorithm for hybrid flow shop scheduling problems with multiple parallel batch processing stages

Parallel batch processing machines have extensive applications in the semiconductor manufacturing process. However, the problem models in previous studies regard parallel batch processing as a fixed processing stage in the machining process. This study generalizes the problem model, in which users c...

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Vydáno v:	Swarm and evolutionary computation Ročník 95; s. 101929
Hlavní autoři:	Liu, Feige, Li, Xin, Lu, Chao, Gong, Wenyin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.06.2025
Témata:	Hybrid flow shop problem (HFSP) Multi-objective evolutionary algorithm based on decomposition (MOEA/D) Parallel batching Hybrid flow shop problem (HFSP) Multi-objective evolutionary algorithm based on decomposition (MOEA/D) Parallel batching
ISSN:	2210-6502
On-line přístup:	Získat plný text
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