A two-order Particle Swarm Optimization Model and the Selection of its Parameters

Author

Hu, Jianxiu ; Zeng, Jianchao ; Yang, Yaping

Author_Institution

Div. of Syst. Simulation & Comput. Application, Taiyuan Univ. of Sci. & Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3440

Lastpage

3445

Abstract

Based on the analysis of theoretical model and evolutionary equations for the standard PSO, a new particle swarm optimization model, called the two-order PSO, was performed, which simulated more precisely the velocity change of particles than the standard PSO. At the same time a new method termed pso for pso was used for the selection of the best parameters c1, c2 in the two-order PSO. The results on five benchmark functions prove the feasibility and validity of this method. Furthermore, the analysis of the results shows that there are revelatory rules on selection of c1, c2 in the two-order PSO

Keywords

particle swarm optimisation; evolutionary equations; parameter selection; two-order particle swarm optimization model; Analytical models; Automation; Computational modeling; Computer applications; Computer simulation; Electronic mail; Equations; Intelligent control; Particle swarm optimization; Performance analysis; parameters; pso for pso; the standard PSO; the two-order PSO;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713007

Filename

1713007