A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem

•We study a multi-objective distributed assembly flowshop scheduling problem.•We present a two-phase evolutionary algorithm divided by time.•Two novel heuristics specific to different objectives are proposed.•Six crossover operators and two mutation operators are designed specifically.•The effective...

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Vydáno v:	Swarm and evolutionary computation Ročník 74; s. 101128
Hlavní autoři:	Huang, Ying-Ying, Pan, Quan-Ke, Gao, Liang, Miao, Zhong-Hua, Peng, Chen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2022
Témata:	Distributed assembly permutation flowshop scheduling problem Multi-objective Total flowtime Total tardiness Two-phase optimization Multi-objective Total flowtime Two-phase optimization Distributed assembly permutation flowshop scheduling problem Total tardiness
ISSN:	2210-6502
On-line přístup:	Získat plný text
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