Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint

The classical hybrid flow shop scheduling problem (HFSSP) considers the operation and machine constraints but not the worker constraint. Acknowledging the influence and potential of human factors as a key element in improving production efficiency in a real hybrid flow shop, we consider a new realis...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Expert systems with applications Ročník 168; s. 114282
Hlavní autoři:	Han, Wenwu, Deng, Qianwang, Gong, Guiliang, Zhang, Like, Luo, Qiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 15.04.2021 Elsevier BV
Témata:	Evolutionary algorithm Evolutionary algorithms Genetic algorithms Heuristic Human factors Hybrid flow shop Integer programming Job shop scheduling Job shops Linear programming Mixed integer Scheduling Worker constraint Hybrid flow shop Scheduling Worker constraint Evolutionary algorithm Heuristic
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!