摘要
粒子群优化是由Kennedy和Eberhart于1995年根据鸟或鱼群居社会行为而提出的,经典的粒子群是一个有效的寻找连续函数极值的方法。结合遗传算法的交叉粒子群算法解决了指派问题,实例证实它是一种简单有效的算法。
Particle swarm optimization(PSO)is an evolutionary computation technique developed by Kennedy and Eber-hart in1995,inspired by social behavior of bird flocking or fish schooling.The classical Particle Swarm Optimization is a powerful method to find the minimum of a numerical function,on a continuous definition domain.The particle Swarm optimization algorithm combined the ideal of the genetic algorithm is tested to solve Assignment problem.It is proved that this method is a simple and effective algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第8期54-55,共2页
Computer Engineering and Applications
关键词
粒子群
优化
指派问题
Particle swarm,Optimization,Assignment problem
