Hybrid Multi-Objective Artificial Bee Colony for Flexible Assembly Job Shop with Learning Effect

The flexible job shop scheduling problem is a typical and complex combinatorial optimization problem. In recent years, the assembly problem in job shop scheduling problems has been widely studied. However, most of the studies ignore the learning effect of workers, which may lead to higher costs than...

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Veröffentlicht in:	Mathematics (Basel) Jg. 13; H. 3; S. 472
Hauptverfasser:	Du, Zhaosheng, Li, Junqing, Li, Jiake
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2025
Schlagworte:	Algorithms artificial bee colony Assembly Bees Combinatorial analysis Completion time Critical path Energy consumption flexible assembly job shop Genetic algorithms Heuristic hybrid multi-objective algorithm Integer programming Job shop scheduling Job shops Learning learning effect Linear programming Mixed integer Multiple objective analysis Optimization Scheduling Simulated annealing Swarm intelligence Workers
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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