An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference

Multi-objective particle swarm optimization (MOPSO) algorithms based on angle preference provide a set of preferred solutions by incorporating a user’s preference. However, since the search mechanism is stochastic and asymmetric, traditional MOPSO based on angle preference are still easy to fall int...

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Vydané v:	Symmetry (Basel) Ročník 14; číslo 12; s. 2619
Hlavní autori:	Ling, Qing-Hua, Tang, Zhi-Hao, Huang, Gan, Han, Fei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2022
Predmet:	Algorithms Analysis Archives & records Data exchange Decision making Genetic algorithms Mathematical optimization Multiple objective analysis Objectives Optimization algorithms Particle swarm optimization Preferences Random variables
ISSN:	2073-8994, 2073-8994
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