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PSO算法速度更新时随机数产生的分析 被引量:4

Analysis of Random Number Generating with Speed Renewal in Particle Swarm Optimization Algorithm
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摘要 介绍粒子群优化原理,对粒子群速度更新时随机数的产生问题进行理论研究,采用标准测试函数对随机数的3种产生方式进行数值实验,并对实验结果给出相应的理论解释,有助于了解粒子群优化算法的运行机制,为算法的进一步研究提供一定数值依据。 Particle Swarm Optimization(PSO) theory is introduced. The problem of random number generating with speed renewal in PSO is researched. Three generating ways of random number in speed renewal process are numerically studied in detail by using standard test functions, and the results are explained by corresponding theories. It is helpful to understand the mechanism of PSO algorithm, and also provides the values foundation for further research.
出处 《计算机工程》 CAS CSCD 北大核心 2009年第9期192-194,共3页 Computer Engineering
关键词 群智能 粒子群优化算法 速度更新 swarm intelligence Particle Swarm Optimization(PSO) algorithm speed renewal
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参考文献2

  • 1Eberhart R.Particle Swarm Optimization:Developments,Applications and Resources[C]//Proc.of Congress on Evolutionary Computation.Piscataway,NJ,USA:[s.n.],2001.
  • 2Angeline P J.Evolutionary Optimization Versus Particle Swarm Optimization:Philosophy and Performance Differences[J].Evolutionary Programming,1998.48(17):1956-1959.

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