Online algorithm configuration for differential evolution algorithm

The performance of evolutionary algorithms (EAs) is strongly affected by their configurations. Thus, algorithm configuration (AC) problem, that is, to properly set algorithm’s configuration, including the operators and parameter values for maximizing the algorithm’s performance on given problem(s) i...

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Bibliographic Details
Published in:	Applied intelligence (Dordrecht, Netherlands) Vol. 52; no. 8; pp. 9193 - 9211
Main Authors:	Huang, Changwu, Bai, Hao, Yao, Xin
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2022 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Computer Science Configurations Evolutionary algorithms Evolutionary computation Machines Manufacturing Mechanical Engineering Multi-armed bandit problems Optimization Parameter sensitivity Processes Search process Sensitivity analysis Automatic algorithm configuration Adaptive parameter control Differential evolution algorithm Kernel density estimation Multi-armed bandit Machine learning
ISSN:	0924-669X, 1573-7497
Online Access:	Get full text
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