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 com-pared with evolutionary algorithms, and some test functions are present. What is more, the de-velopment methods of PSO are discussed, especially which ane in practical applications for the latter part of the deficiencies in the search.%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.
展开▼
