An effective biogeography-based optimization algorithm for multi-objective green scheduling of distributed assembly permutation flowshop scheduling problem

The distributed assembly permutation flowshop scheduling problem (DAPFSP) plays a crucial role in advancing distributed manufacturing systems (DMS). While much attention has been given to optimizing production scheduling for improved efficiency, energy consumption often remains overlooked. In line w...

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Veröffentlicht in:	Computers & operations research Jg. 183; S. 107158
Hauptverfasser:	Cheng, Long, Wang, Lei, Cai, Jingcao, Hu, Kongfu, Xiong, Yuan, Xia, Qiangqiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2025
Schlagworte:	Distributed assembly permutation flowshop scheduling problem Dual-population heuristic initialization Effective biogeography-based optimization algorithm Hybrid migration operator Improved mutation operator Multi-objective green scheduling Perturbation operator Dual-population heuristic initialization Distributed assembly permutation flowshop scheduling problem Perturbation operator Improved mutation operator Effective biogeography-based optimization algorithm Hybrid migration operator Multi-objective green scheduling
ISSN:	0305-0548
Online-Zugang:	Volltext
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