A Particle Swarm Optimization Algorithm with Momentum Factor

Author

Ren, Jinxia ; Yang, Shuai

Author_Institution

Sch. of Mech. & Electron. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China

Volume

1

fYear

2011

fDate

28-30 Oct. 2011

Firstpage

19

Lastpage

21

Abstract

The basic particle swarm optimization algorithm updated particles velocity only by the current particles velocity, the personal best position and the excellent particle position. Considering the influence of the previous changes among the current particles velocity, in this paper, the updating formula of particles velocity was mended by appending momentum factor, an improved particle swarm optimization algorithm with momentum factor was proposed. The simulation results show that the improved algorithm has higher accuracy and quicker convergence velocity than the basic particle swarm optimization algorithm.

Keywords

particle swarm optimisation; excellent particle position; momentum factor; particle swarm optimization algorithm; personal best position; updated particles velocity; Accuracy; Algorithm design and analysis; Companies; Convergence; Educational institutions; Optimization; Particle swarm optimization; Convergence velocity; Momentum factor; Particle Swarm Optimization (PSO);

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4577-1085-8

Type

conf

DOI

10.1109/ISCID.2011.13

Filename

6079623