Title :
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.
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713007
