Real-time data-driven automatic design of multi-objective evolutionary algorithm: A case study on production scheduling

Multi-objective evolutionary algorithms (MOEAs) have become an important choice for solving multi-objective optimization problems. The performance of MOEAs is highly dependent on the algorithm configuration. Therefore, the algorithm configuration is an essential task in the development and applicati...

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Vydané v:	Applied soft computing Ročník 138; s. 110187
Hlavní autori:	Zhang, Biao, Meng, Lei-lei, Lu, Chao, Li, Jun-qing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2023
Predmet:	Automatic algorithm design Decision tree Hybrid flowshop scheduling problem I/F-race Multi-objective evolutionary algorithm Hybrid flowshop scheduling problem I/F-race Multi-objective evolutionary algorithm Decision tree Automatic algorithm design
ISSN:	1568-4946, 1872-9681
On-line prístup:	Získať plný text
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