An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots

Lot streaming is the most widely used technique to facilitate overlapping of successive operations. Inspired by real-world scenarios, this paper studies a multi-objective hybrid flowshop scheduling problem with consistent sublots, aiming to simultaneously optimize two conflicting objectives: the mak...

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Vydáno v:	Knowledge-based systems Ročník 238; s. 107819
Hlavní autoři:	Zhang, Biao, Pan, Quan-ke, Meng, Lei-lei, Lu, Chao, Mou, Jian-hui, Li, Jun-qing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 28.02.2022 Elsevier Science Ltd
Témata:	Algorithms Automatic algorithm design Automation Consistent sublots Decoding Design Encoding Evolutionary algorithms Genetic algorithms Heuristic methods Hybrid flowshop scheduling Integer programming Job shops Lot streaming Mixed integer Multi-objective evolutionary algorithm Neighborhoods Objectives Operators Parameters Racing Scheduling Lot streaming Hybrid flowshop scheduling Multi-objective evolutionary algorithm Consistent sublots Automatic algorithm design
ISSN:	0950-7051, 1872-7409
On-line přístup:	Získat plný text
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