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