Research of Improved Immune Clonal Algorithms and its Applications

被引:2
|
作者
Shi, Gang [1 ]
Jing, Yuanwei [1 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China
关键词
artificial immune system; immune clonal algorithm; clonal selection; vaccine; vehicle routing problems;
D O I
10.1109/CIMSA.2009.5069950
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on the clonal selection theory, this paper is put forward an improved immune clonal selection algorithm through the introduction of cloning operator, and used to solve the CVRP problem. The algorithm through the introduction of clonal proliferation, super mutation operators and clonal selection operators, improves the global convergence speed, and can effectively avoid prematurity. Through those operators, the variety of antibody and afinity maturation was enhanced. Experimental results showed that the algorithm has a remarkable quality of the global convergence reliability and convergence velocity, thus solving effectively the CVRP problem.
引用
收藏
页码:212 / 215
页数:4
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