Title :
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
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;
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
DOI :
10.1109/CSO.2010.109
