Hybrid Immune Algorithm with Intelligent Recombination

被引：2

作者：

Gong, Maoguo ^{[1
]}

Jiao, Licheng ^{[1
]}

Ma, Wenping ^{[1
]}

Shang, Ronghua ^{[1
]}

机构：

[1] Xidian Univ, Minist Educ China, Inst Intelligent Informat Proc, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China

来源：

2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 | 2009年

关键词：

HYPERMUTATION;

D O I：

10.1109/CEC.2009.4983160

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we introduce a hybrid immune algorithm based on the intelligent recombination operator and clonal selection algorithm. The intelligent recombination operator uses orthogonal experimental design for factor analysis which identifies the potential gene segments from two individuals to improve their antigenic affinities. The new algorithm, termed as Hybrid Immune Algorithm with Recombination (HIAR), can avoid the decrease of gene diversity in evolutionary process. It evaluates the hamming distance before recombination and uses the two individuals which have the largest hamming distance between each other to implement intelligent recombination operator. It is shown empirically that HIAR has better performance in solving benchmark functions as compared with Intelligent Evolutionary Algorithm and Clonal Selection Algorithm.

引用

页码：1807 / 1814

页数：8

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