Title :
Adaptive particle swarm optimization based on quantum oscillator model
Author :
Feng, Bin ; Xu, Wenbo
Author_Institution :
Sch. of. Inf. Technol., Southern Yangtze Univ., Wuxi, China
Abstract :
In this paper, after establishing a quantum oscillator model for PSO, according the general convergence condition, we propose am approach of parameter control and an adaptive QPSO. The numerical experiment result shows its much advantage.
Keywords :
evolutionary computation; quantum theory; search problems; adaptive particle swarm optimization; parameter control; quantum oscillator model; Adaptive control; Convergence; Educational institutions; Equations; Information technology; Organisms; Oscillators; Particle swarm optimization; Programmable control; Quantum mechanics;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460428
