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...

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Bibliographic Details
Published in:	Mathematics (Basel) Vol. 7; no. 2; p. 148
Main Authors:	Sun, Ying, Gao, Yuelin
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 04.02.2019
Subjects:	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 Access:	Get full text
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