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计算机工程 ›› 2009, Vol. 35 ›› Issue (9): 192-194. doi: 10.3969/j.issn.1000-3428.2009.09.068

• 人工智能及识别技术 • 上一篇    下一篇

PSO算法速度更新时随机数产生的分析

李荣钧,常先英   

  1. (华南理工大学工商管理学院,广州 510640)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-05-05 发布日期:2009-05-05

Analysis of Random Number Generating with Speed Renewal in Particle Swarm Optimization Algorithm

LI Rong-jun, CHANG Xian-ying   

  1. (College of Business Administration, South China University of Technology, Guangzhou 510640)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-05-05 Published:2009-05-05

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。

关键词: 群智能, 粒子群优化算法, 速度更新

Abstract: 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.

Key words: swarm intelligence, Particle Swarm Optimization(PSO) algorithm, speed renewal

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