Clustering and pattern search for enhancing particle swarm optimization with Euclidean spatial neighborhood search

There are many well-known particle swarm optimization (PSO) algorithms which consider ring/star/von Neumann et al. topological neighborhood and scarcely aim at Euclidean spatial neighborhood structure. k-Nearest Neighbors (k-NN) is a kind of clustering method to find the necessary representatives am...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 171; S. 966 - 981
Hauptverfasser:	Zhao, Xinchao, Lin, Wenqiao, Hao, Junling, Zuo, Xingquan, Yuan, Jianhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2016
Schlagworte:	Clustering Euclidean spatial neighborhood Evolutionary algorithm k-NN Particle swarm optimization Pattern search Pattern search k-NN Clustering Particle swarm optimization Euclidean spatial neighborhood Evolutionary algorithm
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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