Title :
Quantum oscillator model of particle swarm system
Author :
Feng, Bin ; Xu, Wenbo
Author_Institution :
Sch. of Inf. Technol., Southern Yangtze Univ., Jiangsu, China
Abstract :
In this paper, we study the individual particle of a PSO system moving in a quantum multi-dimensional space and establish a quantum oscillator model for PSO and given a general convergence condition. After that, an approach of parameter control and QOPSO is proposed. The experiment result shows much advantage of QOPSO to the traditional PSO.
Keywords :
evolutionary computation; quantum theory; parameter control; particle swarm optimization; quantum multi-dimensional space; quantum oscillator model; Birds; Educational institutions; Equations; Optimization methods; Organisms; Oscillators; Particle swarm optimization; Quantum mechanics; Space technology; Uncertainty;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1469063
