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《Journal of Guilin University of Technology》 2009-03
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Improved Hybrid Particle Swarm Optimization Algorithm

MENG Zheng-zhong(Guangxi International Business Vocational College,Nanning 530007,China)  
To overcome the disadvantage of particle swarm optimization algorithm(PSO) a hybrid particle swarm optimization algorithm(HPSO) is proposed,in which the Hooke-Jeeves pattern search is combined with PSO to speed up the local search and optimizing precision.The experimental results through testing by functions and practical problems show that the hybrid algorithm is superior to original particle swarm optimization algorithm in convergence rate and optimizing precision.
【CateGory Index】: TP301.6
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