Visualizing tree structures in genetic programming

被引：0
|
作者：
Daida, JM
Hilss, AM
Ward, DJ
Long, SL
机构：
[1] Univ Michigan, Ctr Study Complex Syst, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Space Phys Res Lab, Ann Arbor, MI 48109 USA
来源：
GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT II, PROCEEDINGS | 2003年 / 2724卷
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents methods to visualize the structure of trees that occur in genetic programming. These methods allow for the inspection of structure of entire trees of arbitrary size. The methods also scale to allow for the inspection of structure for an entire population. Examples are given from a typical problem. The examples indicate further studies that might be enabled by visualizing structure at these scales.
引用
收藏
页码：1652 / 1664
页数：13
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