Function Finding based on Gene Expression Programming

被引：1

作者：

Mo, Haifang ^{[1
,2
]}

Wang, Jiangqing ^{[3
]}

Qin, Jun ^{[3
]}

Kang, Lishan ^{[1
]}

机构：

[1] Wuhan Univ, Dept Comp Sci, Wuhan 430072, Peoples R China

[2] South Ctr Univ Natl, Comp & Exp Ctr, Wuhan 430074, Peoples R China

[3] South Ctr Univ Natl, Dept Comp Sci, Wuhan 430074, Peoples R China

来源：

SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/WGEC.2008.85

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a new evolution algorithm, M_GEP, based oil the concept of multi-gene chromosome in gene expression programming. The algorithm has two characters: (1) a chromosome is composed of more than one gene; (2) the sub-genes are linked together according to the linking gene which may conclude more than one kind of function. We give two examples, whose results show that the models set up by M_GEP are better than the models set up by GEP.

引用

页码：70 / +

页数：2

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