A Kind of Adaptive Immune Genetic Algorithm Based on Chaos and Its Application

被引：1
|
作者：
Ren, Weijian [1 ]
Wang, Qiong [1 ]
Lv, Wei [1 ]
Zhang, Li [2 ]
机构：
[1] Daqing Petr Inst, Fac Elect & Informat Engn, Daqing 163318, Heilongjiang Pr, Peoples R China
[2] Daqing Oilfield Corp Ltd, Daqing 163513, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
Immune Genetic Algorithm; Chaos; adaptive adjustment; optimize; TSP;
D O I：
10.1109/WCICA.2010.5554661
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to overcome the shortcomings of Immune Genetic Algorithm's relatively slow convergence rate during the process of solving large-scale optimization problem, given Chaos optimization's benefits of sensitive to the initial value, easy to jump out of local minimum point, the fast search speed, global asymptotic convergence and so on, basing on the both search advantages of Immune Evolutionary Algorithm and Chaos Optimization Algorithm in their own space, considering that chaotic sequence could be simulated the proliferation of immune cells approach, we combined their characteristics of Chaos Optimization Algorithm and Immune Genetic Algorithm, making use of "exchange" and "shift" operations to solution matrix and memory matrix during the optimization process of chaos, and doing adaptive adjustment to selection probability and mutation probability during the Genetic operation, a kind of adaptive Immune Genetic Algorithm based on Chaos is proposed. The validity of the new algorithm is verified by real application.
引用
收藏
页码：5018 / 5021
页数：4
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