A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm

In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed, where a new velocity updating mechanism is designed to adjust the personal best position and the global best position according to a distance-based dynamic neighborhood to make full use of the population evol...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 52; H. 9; S. 9290 - 9301
Hauptverfasser:	Zeng, Nianyin, Wang, Zidong, Liu, Weibo, Zhang, Hong, Hone, Kate, Liu, Xiaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Algorithms Convergence Differential evolution (DE) dynamic neighborhood Evolutionary algorithms Evolutionary computation Heuristic algorithms Iterative methods Neighborhoods Optimization Particle swarm optimization particle swarm optimization (PSO) Performance evaluation Search problems Switches Switching switching strategy Topology
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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