Multi-swarm improved moth–flame optimization algorithm with chaotic grouping and Gaussian mutation for solving engineering optimization problems

Moth–Flame Optimization (MFO) is widely utilized to solve optimization problems in different fields since it has a simple structure and easy implementation. However, MFO cannot effectively balance exploration and exploitation and often suffers from the lack of population diversity in the search proc...

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Vydáno v:	Expert systems with applications Ročník 204; s. 117562
Hlavní autoři:	Zhao, Xiaodong, Fang, Yiming, Ma, Shuidong, Liu, Zhendong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.10.2022
Témata:	Engineering optimization problems Gaussian mutation Linear search Moth–flame optimization algorithm Multi-swarm Engineering optimization problems Multi-swarm Linear search Gaussian mutation Moth–flame optimization algorithm
ISSN:	0957-4174
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