Analysis of Building Blocks with Numerical Simplification in Genetic Programming

被引：0
|
作者：
Kinzett, David [1 ]
Zhang, Mengjie [1 ]
Johnston, Mark [2 ]
机构：
[1] Victoria Univ Wellington, Sch Engn & Comp Sci, POB 600, Wellington, New Zealand
[2] Victoria Univ Wellington, Sch Math & Operat Res, Wellington, New Zealand
来源：
GENETIC PROGRAMMING, PROCEEDINGS | 2010年 / 6021卷
关键词：
CONTROL BLOAT;
D O I：
暂无
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 investigates the effect of numerical simplification on building blocks during evolution in genetic programming. The building blocks considered are three level subtrees. We develop a method for encoding building blocks for the analysis. Compared with the canonical genetic programming method, numerical simplification can generate much smaller programs, use much shorter evolutionary training time and achieve comparable effectiveness performance.
引用
收藏
页码：289 / +
页数：3
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