A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints

•Mathematical notations and constraints of DHHFSP with blocking constraints is formulated.•NEH-Increase heuristic strategy is designed to allocate the jobs to heterogeneous factories.•The neighborhood search strategies cooperatively optimize the scheduling sequence.•A local intensification strategy...

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Veröffentlicht in:	Expert systems with applications Jg. 201; S. 117256
Hauptverfasser:	Qin, Hao-Xiang, Han, Yu-Yan, Liu, Yi-Ping, Li, Jun-Qing, Pan, Quan-Ke, Xue-Han
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.09.2022 Elsevier BV
Schlagworte:	Algorithms Blocking Collaboration Collaborative iterative greedy algorithm Constraints Distributed heterogeneous hybrid flow shop problems Energy efficiency Factories Greedy algorithms Industrial applications Industrial plants Iterative methods Job shops Operators (mathematics) Scheduling Search methods Blocking Collaborative iterative greedy algorithm Energy efficiency Distributed heterogeneous hybrid flow shop problems
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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