Compact Version of Cartesian Genetic Programming

被引：0

作者：

Burian, Petr ^{[1
]}

机构：

[1] Univ W Bohemia, Dept Appl Elect & Telecommun, Reg Innovat Ctr Elect Engn, Plzen, Czech Republic

来源：

2014 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE) | 2014年

关键词：

Cartesian Genetic Programming; CGP; Evolutionary design; Fitness function;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the design of the compact version of Cartesian Genetic Programming. The focus is given to the search algorithm of type (1+1). The paper presents the approach that detects changes in the phenotype and, based on that, the algorithm can omit the evaluation of a candidate solution. The author uses the evolutionary design of multipliers as benchmark to present the efficiency of the algorithm.

引用

页码：63 / 66

页数：4