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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Veröffentlicht in:	Symmetry (Basel) Jg. 14; H. 12; S. 2619
Hauptverfasser:	Ling, Qing-Hua, Tang, Zhi-Hao, Huang, Gan, Han, Fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2022
Schlagworte:	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
Online-Zugang:	Volltext
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