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微粒群算法参数的仿真分析
The research of PSO visualization platform development
【摘要】 微粒群算法是近年来兴起的一种智能优化算法,而算法参数是影响算法性能和效率的关键,本文对微粒群算法的几个重要参数进行了深入的仿真分析,最终得出了能够保证算法收敛并具有一定指导性和有意义的结论。
【Abstract】 In recent years, particle swarm optimization is a kind of intelligent optimization algorithms, and the algorithm parameters is a key affect to algorithm performance and efficiency. The paper deeply analyzed several important parameters of particle swarm optimization, Finally work out some guiding and meaningful conclusions which can guarantee convergence of the algorithm.
【关键词】 微粒群算法;
算法参数;
收敛;
【Key words】 Particle swarm optimization; PSO; Algorithm parameter; Convergence;
【Key words】 Particle swarm optimization; PSO; Algorithm parameter; Convergence;
- 【文献出处】 自动化与仪器仪表 ,Automation & Instrumentation , 编辑部邮箱 ,2011年02期
- 【分类号】TP301.6
- 【被引频次】2
- 【下载频次】87