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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Bibliographic Details

Published in:	Applied soft computing Vol. 138; p. 110187
Main Authors:	Zhang, Biao, Meng, Lei-lei, Lu, Chao, Li, Jun-qing
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2023
Subjects:	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 Access:	Get full text
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