A kind of New Immune Genetic Algorithm and Its Application

被引：0
|
作者：
Ren Weijian [1 ]
Qi Yuanjun [1 ]
Lv Wei [1 ]
Li Chengda [2 ]
机构：
[1] Northeast Petr Univ, Sch Elect & Informat Engn, Daqing 163318, Heilongjiang Pr, Peoples R China
[2] Zhejiang Univ, Sch Elect Engn, Hangzhou 310027, Peoples R China
来源：
MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2 | 2011年 / 48-49卷
关键词：
immune genetic algorithm; chaos; TSP;
D O I：
10.4028/www.scientific.net/AMM.48-49.25
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
According to the phenomenon of falling into local optimum during solving large-scale optimization problems and the shortcomings of poor convergence of Immune Genetic Algorithm, a new kind of probability selection method based on the concentration for the genetic operation is presented. Considering the features of chaos optimization method, such like not requiring the solved problems with continuity or differentiability, which is unlike the conventional method, and also with a solving process within a certain range traverse in order to find the global optimal solution, a kind of Chaos Immune Genetic Algorithm based on Logistic map and Henon map is proposed. Through the application to TSP problem, the results have showed the superior to other algorithms.
引用
收藏
页码：25 / +
页数：2
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