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| Research on Chaos Particle Swarm Optimization Algorithm |
| GAO Shang1,2, YANG JingYu2 |
1.School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003
2.Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094 |
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Abstract By use of the properties-ergodicity, randomicity, and regularity of chaos, a chaos particle swarm optimization(CPSO) algorithm is proposed to solve the optimization problems. The basic principle of CPSO algorithm is that chaos initialization is adopted to improve individual quality and chaos perturbation is utilized to avoid the search being trapped in local optimum. Simulation results of typical complex function optimization show that chaos particle swarm optimization is a relatively simple and effective algorithm.
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Received: 10 June 2004
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2006, Vol. 19 
