A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times

This paper investigates a distributed assembly permutation flow-shop scheduling problem with transportation and sequence-dependent set-up times (DAPFSP-TSDST). A hybrid genetic programming (HGP) algorithm is proposed to optimize the makespan of the assembly stage, which inherits the merits of geneti...

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Vydané v:	Engineering optimization Ročník 57; číslo 3; s. 786 - 812
Hlavní autori:	Deng, Jiawen, Zhang, Jihui, Yang, Shengxiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 04.03.2025 Taylor & Francis Ltd
Predmet:	Assembly Distributed assembly problem Genetic algorithms genetic programming Job shop scheduling manufacturing Operators Permutations Programming scheduling Setup times Simulated annealing
ISSN:	0305-215X, 1029-0273
On-line prístup:	Získať plný text
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