摘要
人工鱼群算法是一种基于动物行为的群体智能寻优算法,具有并行性、全局性、简单性、快速性、跟踪性等优点,可以处理一些非凸、非线性等方面的问题.针对一类不可用经典方法求解极值的函数,提出了一种基于人工鱼群算法求解这一类函数极值的方法,并通过仿真实验的研究,验证了该算法求解函数极值是有效可行的。
The artificial fish swarm algorithm is a swarm intelligence optimization algorithm based on the animal behavior.The algorithm has some advantages in terms of parallelism.global ehavior, simplicity,speediness, traceability and so on. And it is able to solve some nonconvex and nonlinear problems. In order to solve extrema of a kind of functions that can not be solved with the classical method.an artificial fish swarm algorithm is made to solve this problem. And the emulated numerical experiment confirmed it is feasible and efficient.
出处
《韶关学院学报》
2009年第12期7-10,共4页
Journal of Shaoguan University
基金
四川省教育厅青年项目(07ZB043)
关键词
人工鱼群算法
函数极值
集群智能
artificial fish swarm algorithm
extrema of function
swarm intelligence
