[1]熊军,高敦堂,都思丹,等.变异率和种群数目自适应的遗传算法[J].东南大学学报(自然科学版),2004,34(4):553-556.[doi:10.3969/j.issn.1001-0505.2004.04.029]
　Xiong Jun,Gao Duntang,Du Sidan,et al.Genetic algorithm with mutation probability and population size adaptation[J].Journal of Southeast University (Natural Science Edition),2004,34(4):553-556.[doi:10.3969/j.issn.1001-0505.2004.04.029]
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变异率和种群数目自适应的遗传算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第4期
页码:
553-556
栏目:
数学、物理学、力学
出版日期:
2004-07-20

文章信息/Info

Title:
Genetic algorithm with mutation probability and population size adaptation
作者:
熊军;  高敦堂;  都思丹;  沈庆宏
南京大学电子科学与工程系, 南京 210093
Author(s):
Xiong Jun;  Gao Duntang;  Du Sidan;  Shen Qinghong
Department of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
关键词:
遗传算法;  变异率;  种群数;  自适应
Keywords:
genetic algorithm;  mutation probability;  population size;  adaptation methods
分类号:
O224
DOI:
10.3969/j.issn.1001-0505.2004.04.029
摘要:
提出了针对个体变异率和种群数目的2种自适应方法.算法中个体变异率根据其适度值在种群中的排序自适应调整,使优良个体具有较小的变异率继续进化,而使种群中较差个体具有较大变异率,增强了种群搜索能力.同时根据种群个体适度值方差动态调整变异率曲线,种群数目调整则根据最优个体更新率动态增大,以动态适应解空间的规模避免采样误差造成的进化停滞.通过在不同尺度的NK Landscape上与传统的简单遗传算法(SGA)比较可得,2种自适应方法的引入对遗传算法的寻优能力有了明显改进.
Abstract:
Two parameter adaptation methods are presented for genetic algorithm. Mutation probability is assigned to each individual according to its sort order of fitness in the population. Individuals with above average fitness have lower mutation probabilities and continually evolve to better ones, while less fit individuals are assigned with higher mutation probabilities to search wider area. Meanwhile, the population’s fitness variance is used to adjust the probability curve. Population size is doubled when no best individual is updated after certain numbers of generations. Experiments are carried out by comparing multi-scale NK Landscapes with simple genetic algorithm(SGA). Results show that the optimization ability of genetic algorithm is improved remarkably by introducing the presented parameter adaptation methods.

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(60275041)、南瑞继保研究生论文基金资助项目(2003).
作者简介: 熊军(1976—),男,博士生; 高敦堂(联系人),男,教授,博士生导师,dtgao@nju.edu.cn.
更新日期/Last Update: 2004-07-20