A new evolutionary algorithm based on chromosome hierarchy network

被引:0
|
作者
School of Computer Science and Engineering, Sichuan University, Chengdu 610065, China [1 ]
不详 [2 ]
机构
关键词
Gene expression - Neural networks;
D O I
10.1080/1206212X.2008.11441897
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper proposes a novel evolution algorithm, which is based on a new concept of chromosome hierarchy network in gene expression programming (CHN-GEP). This new algorithm is efficient for real applications, such as the function finding problem and electric circuit evolving. This paper expatiates four aspects about this algorithm: (1) details the algorithm CHN-GEP, based on CHN; (2) implements both a network-call model and a storage structure for CHN-GEP; (3) creates a novel method for converting artificial neural network (ANN) problems to chromosome network problems, and through this method, CHN-GEP solves quickly these problems; (4) Extensive experimentation shows that CHN-GEP can reduce the average evolution generations by 24-53% of the traditional GEP algorithms for function finding problems.
引用
收藏
页码:183 / 191
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