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《Journal of Tianjin Normal University(Natural Science Edition)》 2006-02
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An Improved Particle Swarm Optimization to Settle Nonlinear Constrained Optimal Peoblem

ZHANG Bao-ju~1,SHAN Guo-quan~1,QI Ming-jun~2 (1.College of Physics and Electronic Information,Tianjin Normal University,Tianjin 300074,China;2.College of Computer and Information Technology,Daqing Petroleum Institute,Daqing 163318,Heilongjiang Province,China)  
An improved partical swarm optimization,different scale factor partical swarm algorithm was proposed. The numerical results showed that the improved PSO was feasible and can get more precise results than particle swarm optimization by using penalty functions and genetic algorithm and other optimization algorithms.
【Fund】: 天津市教育科学基金项目(20030515)
【CateGory Index】: TP18
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