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《Journal of Changchun Post and Telecommunication Institute》 2005-04
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Application of Particle Swarm Optimization for Solving Optimization Problems

ZHANG Li-biao,ZHOU Chun-guang,LIU Xiao-hua,MA Ming(College of Computer Science and Technology, Jilin University, Changchun 130012,China)  
PSO (Particle Swarm Optimization)is a new optimization technique originating from artificial life and evolutionary computation. The algorithm completes the optimization through following the personal best solution of each particle and the global best value of the whole swarm. To avoids the local minimum problems and to improve convergent speed, a new probability of PSO algorithm was proposed. Different solving methods and test functions have been designed for unconstrained and constrained optimization problems, and to do research for solving multi objective optimization problems with PSO. Numerical experiments have shown the feasibility and effectiveness of the proposed algorithm.
【Fund】: 国家自然科学基金资助项目(60433020);; 教育部符号计算与知识工程重点实验室资助(02090)
【CateGory Index】: TP18
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