A covariance-based Moth–flame optimization algorithm with Cauchy mutation for solving numerical optimization problems

Moth–Flame Optimization (MFO) algorithm, which is inspired by the navigation method of moths, is a nature-inspired optimization algorithm. The MFO is easy to implement and has been used to solve many real-world optimization problems. However, the MFO cannot balance exploration and exploitation well,...

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Veröffentlicht in:	Applied soft computing Jg. 119; S. 108538
Hauptverfasser:	Zhao, Xiaodong, Fang, Yiming, Liu, Le, Xu, Miao, Li, Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2022
Schlagworte:	Cauchy mutation Covariance matrix Engineering optimization problems Moth–flame optimization algorithm Numerical optimization problems Engineering optimization problems Covariance matrix Cauchy mutation Numerical optimization problems Moth–flame optimization algorithm
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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