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《Computer Engineering and Applications》 2002-21
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Particle Swarm Optimization Algorithms

Li Aiguo 1,2 Qin Zheng 1 Bao Fumin 1 He Shengping 11 (Department of Computer Science,Xi'an Jiaotong University,Xi'an710049) 2 (Department of Computer Science,Xi'an University of Science and Technology,Xi'an710054)  
Particle swarm optimizers are a stochastic global optimization technique.The particle swarm algorithms find optimal regions of complex search spaces through the interaction of individuals in a population of particles.Particle swarm optimizers have become the hotspot of evolutionary computation because of its excellent performance and simple for implement.In this paper,classical particle swarm optimization algorithm and its several variants and some applica-tions of the algorithms are introduced,future research issues are also discussed.
【Fund】: 陕西省科学技术发展计划″十五″攻关资助项目(编号:2000K08-G12)
【CateGory Index】: TP301.6
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