Title :
Particle swarm optimization with particles having quantum behavior
Author :
Sun, Jun ; Feng, Bin ; Xu, Wenbo
Author_Institution :
Sch. of Inf. Technol., Southern Yangtze Univ., Jiangsu, China
Abstract :
In this paper, inspired by the analysis of convergence of PSO, we study the individual particle of a PSO system moving in a quantum multidimensional space and establish a quantum delta potential well model for PSO. After that, a trial method of parameter control and QDPSO is proposed. The experiment result shows much advantage of QDPSO to the traditional PSO.
Keywords :
evolutionary computation; optimisation; quantum theory; PSO system; QDPSO; parameter control; particle swarm optimization; quantum behavior; quantum delta potential well model; quantum multidimensional space; Birds; Educational institutions; Equations; Evolutionary computation; Information analysis; Information technology; Organisms; Particle swarm optimization; Potential well; Sun;
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
DOI :
10.1109/CEC.2004.1330875
