A Multi-Objective Particle Swarm Optimization Algorithm Based on Gaussian Mutation and an Improved Learning Strategy

Obtaining high convergence and uniform distributions remains a major challenge in most metaheuristic multi-objective optimization problems. In this article, a novel multi-objective particle swarm optimization (PSO) algorithm is proposed based on Gaussian mutation and an improved learning strategy. T...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Mathematics (Basel) Jg. 7; H. 2; S. 148
Hauptverfasser:	Sun, Ying, Gao, Yuelin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 04.02.2019
Schlagworte:	Algorithms Archives & records Convergence Elitism Food science Gaussian mutation Genetic algorithms Heuristic methods improved learning strategy Machine learning multi-objective optimization problems Multiple objective analysis Objectives Optimization algorithms Particle swarm optimization particle swarm optimization (PSO) Population
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!