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混沌遗传算法在函数优化中的应用
引用本文:王允建,江锋锁,李钟侠.混沌遗传算法在函数优化中的应用[J].兵工自动化,2005,24(2):65-66.
作者姓名:王允建  江锋锁  李钟侠
作者单位:江西理工大学,机电工程学院,江西,赣州,341000
摘    要:基于混沌遗传算法(HGA)的函数优化,将混沌优化方法嵌入到GA中替代GA变异算子,以改善变异个体适应值,加快了算法收敛.其主要算子包括:编码方式、选择算子、交叉算子、变异算子及采用精英保留策略.该算法可求解非线性全局最优化问题,并通过大海捞针(NIH)等仿真试验得到验证.

关 键 词:遗传算法  函数优化  混沌变异  混沌遗传算法  函数优化  应用  function  Optimization  Hybrid  Genetic  Algorithm  验证  仿真试验  大海  优化问题  非线性  可求解  精英保留策略  交叉算子  选择算子  编码方式  算法收敛  适应值  变异算子  改善  替代
文章编号:1006-1576(2005)02-0065-02
修稿时间:2004年10月8日

Application of Hybrid Genetic Algorithm in function Optimization
WANG Yun-jian,JIANG Feng-suo,LI Zhong-xia.Application of Hybrid Genetic Algorithm in function Optimization[J].Ordnance Industry Automation,2005,24(2):65-66.
Authors:WANG Yun-jian  JIANG Feng-suo  LI Zhong-xia
Abstract:The function based on hereditary algorithm (HGA) of the Chaos is optimized, optimization the method of the Chaos is imbedded in the operator of GA to substitutes mutation, in order to improving the suiting value of individual, and accelerating algorithms. Its main operators include coding way, selecting operator, cross operator, mutation operator and adopting elites to keep the tactics. The optimizing issue of non-linear the overall situation is solved with the algorithm, and emulation tests was proved through looking for a needle in a bottle of hay.
Keywords:Genetic algorithm  Function optimization  Chaos mutation
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