Comparison of Genetic Programming, Grammatical Evolution and Gene Expression Programming Techniques

被引：0
|
作者：
Guogis, Evaldas [1 ]
Misevicius, Alfonsas [1 ]
机构：
[1] Kaunas Univ Technol, Dept Multimedia Engn, LT-51368 Kaunas, Lithuania
来源：
INFORMATION AND SOFTWARE TECHNOLOGIES, ICIST 2014 | 2014年 / 465卷
关键词：
genetic programming; grammatical evolution; gene expression programming; symbolic regression problem; multiplexer problem; artificial ant problem;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The purpose of this paper is to compare the efficiency of three different evolutionary programming techniques - Genetic Programming, Grammatical Evolution and Gene Expression Programming. These algorithms were applied to different type test problems with the same set of parameters. The results of the experiments and some insights on similar experiments of the other authors are provided.
引用
收藏
页码：182 / 193
页数：12
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