Effects of Random Values for Particle Swarm Optimization Algorithm

Effects of Random Values for Particle Swarm Optimization Algorithm

Particle swarm optimization (PSO) algorithm is generally improved by adaptively adjusting the inertia weight or combining with other evolution algorithms. However, in most modified PSO algorithms, the random values are always generated by uniform distribution in the range of [0, 1]. In this study, t...

Full description

Bibliographic Details
Main Authors: Hou-Ping Dai, Dong-Dong Chen, Zhou-Shun Zheng
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Algorithms
Subjects:
particle swarm optimization algorithm
random values
uniform distribution
gauss distribution
Online Access:http://www.mdpi.com/1999-4893/11/2/23

Similar Items

Similar Items