摘要
讨论了粒子群优化算法的发展和应用。介绍了粒子群优化算法的基本原理和算法流程,并且与其他演化算法进行了比较,给出了一些经常用到的测试函数。针对粒子群优化算法在搜索后期存在的不足,介绍了改进的粒子群优化算法,重点介绍了在实际应用领域中用到的改进粒子群优化算法。
The developments and applications related to particle swarm optimization （ PSO ） are discussed. Firstly, the basic principle and process of PSO are introduced. Then, PSO is compared with evolutionary algorithms, and some test functions are present. What is more, the development methods of PSO are discussed, especially which ane in practical applications for the latter part of the deficiencies in the search.
出处
《信息记录材料》
2009年第4期50-54,共5页
Information Recording Materials
关键词
粒子群优化算法
演化算法
测试函数
particle swarm optimization （ PSO ）
evolutionary algorithms test functions
