Dynamic Parameter Selection Based on Trigonometric Function in Particle Swarm Optimization

Author

Zhang, Wenxue ; Li, Tieke ; Shi, Cantao

Author_Institution

Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing, China

Volume

1

fYear

2010

fDate

28-31 May 2010

Firstpage

283

Lastpage

286

Abstract

This paper presents an improved PSO algorithm (TPSO) with dynamic parameter selection, in which the inertia weight and acceleration coefficients are defined by trigonometric functions of the present iterative generation. Compared with some typical PSO models, TPSO shows its superiority in convergence, robustness and solution quality through experimental tests with 8 widely used benchmark functions.

Keywords

iterative methods; particle swarm optimisation; acceleration coefficients; dynamic parameter selection; inertia weight; iterative generation; particle swarm optimization; trigonometric function; Acceleration; Conference management; Convergence; Educational technology; Equations; Optimized production technology; Paper technology; Particle swarm optimization; Testing; Upper bound; acceleration coefficients; dynamic parameter selection; inertia weight; particle swarm optimization; trigonometric function;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Optimization (CSO), 2010 Third International Joint Conference on

Conference_Location

Huangshan, Anhui

Print_ISBN

978-1-4244-6812-6

Electronic_ISBN

978-1-4244-6813-3

Type

conf

DOI

10.1109/CSO.2010.109

Filename

5533159