Hybrid whale optimization algorithm with gathering strategies for high-dimensional problems

•A novel two-stage individual-based Whale Optimization Algorithm is proposed.•Opposition learning and grey wolf optimizer are added to raise solution diversity.•A big parameter value and differential disturbance are adopted in the first stage.•Historical agent best solutions and a global-best way ar...

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Veröffentlicht in:	Expert systems with applications Jg. 179; S. 115032
Hauptverfasser:	Zhang, Xinming, Wen, Shaochen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.10.2021 Elsevier BV
Schlagworte:	Algorithms Clustering Fuzzy C-means Fuzzy sets Grey Wolf optimizer High-dimensional problems Learning Operators (mathematics) Optimization Optimization algorithm Optimization algorithms Searching Whale optimization algorithm Optimization algorithm Grey Wolf optimizer Whale optimization algorithm Fuzzy C-means High-dimensional problems
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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