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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied soft computing Jg. 138; S. 110187
Hauptverfasser:	Zhang, Biao, Meng, Lei-lei, Lu, Chao, Li, Jun-qing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2023
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!