Multi-objective particle swarm optimization algorithm using Cauchy mutation and improved crowding distance

PurposeMulti-objective is a complex problem that appears in real life while these objectives are conflicting. The swarm intelligence algorithm is often used to solve such multi-objective problems. Due to its strong search ability and convergence ability, particle swarm optimization algorithm is prop...

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Veröffentlicht in:	International journal of intelligent computing and cybernetics Jg. 16; H. 2; S. 250 - 276
Hauptverfasser:	Li, Qingxia, Zeng, Xiaohua, Wei, Wenhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bingley Emerald Publishing Limited 15.05.2023 Emerald Group Publishing Limited
Schlagworte:	Adaptive algorithms Archives & records Convergence Crowding Decomposition Efficiency Local optimization Multiple objective analysis Objectives Optimization algorithms Pareto optimization Pareto optimum Particle swarm optimization Swarm intelligence Pareto Cauchy variation Crowding distance Multi-objective Particle swarm optimization
ISSN:	1756-378X, 1756-3798
Online-Zugang:	Volltext
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