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...

Full description

Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 74; p. 101128
Main Authors:	Huang, Ying-Ying, Pan, Quan-Ke, Gao, Liang, Miao, Zhong-Hua, Peng, Chen
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2022
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!