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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Vydáno v:	International journal of intelligent computing and cybernetics Ročník 16; číslo 2; s. 250 - 276
Hlavní autoři:	Li, Qingxia, Zeng, Xiaohua, Wei, Wenhong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bingley Emerald Publishing Limited 15.05.2023 Emerald Group Publishing Limited
Témata:	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
On-line přístup:	Získat plný text
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