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利用人工鱼群算法求解一类函数的极值
引用本文:陈宣,杨礼,杨智杰,陈姝,刘高峰.利用人工鱼群算法求解一类函数的极值[J].韶关学院学报,2009,30(12):7-10.
作者姓名:陈宣  杨礼  杨智杰  陈姝  刘高峰
作者单位:内江师范学院,数学与信息科学学院,四川,内江,641112
基金项目:四川省教育厅青年项目 
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.

关 键 词:人工鱼群算法  函数极值  集群智能

An artificial fish swarm algorithm solving extrema of a kind of functions
CHEN Xuan,YANG Li,YANG Zhi-jie,CHEN Shu,LIU Gao-feng.An artificial fish swarm algorithm solving extrema of a kind of functions[J].Journal of Shaoguan University(Social Science Edition),2009,30(12):7-10.
Authors:CHEN Xuan  YANG Li  YANG Zhi-jie  CHEN Shu  LIU Gao-feng
Institution:(College of Mathematic and Information, Neijiang Normal College, Neijiang 641112,Sichuan,China)
Abstract: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.
Keywords:artificial fish swarm algorithm  extrema of function  swarm intelligence
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