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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Veröffentlicht in:	Swarm and evolutionary computation Jg. 95; S. 101929
Hauptverfasser:	Liu, Feige, Li, Xin, Lu, Chao, Gong, Wenyin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2025
Schlagworte:	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
Online-Zugang:	Volltext
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