启发式遗传算法及其应用  

HEURISTIC GENETIC ALGORITHM AND ITS APPLICATION

作　　者：金聪[1] 

机构地区：[1]湖北大学数学与计算机科学学院,武汉430062

出　　处：《数值计算与计算机应用》2003年第1期30-35,共6页Journal on Numerical Methods and Computer Applications

基　　金：湖北省教委重点科研项目(2000A01020)资助.

摘　　要：§1.引言 在科学实践、工程技术和日常生活中,人们常常会遇到大量的、各式各样的最优化问题.最优化方法在近几十年里获得了巨大的发展,但目前很多方法不同程度上还存在着一些不足之处.Deeply analyzed the conventional genetic algorithm and for its shortcomings on nonlinear optimization, heuristic genetic algorithm (HGA) is proposed. The simulated results show that the problem can be solved effectively using HGA.HGA makes some improvements on ability of global searching and locally searching. A novel way of solving nonlinear optimization that can not be realized using the general method is proposed.

关 键 词：最优化方法 启发式遗传算法 梯度寻优技术 染色体 Camel函数 Banana函数 最优化问题 

分 类 号：O224[理学—运筹学与控制论]