Neutral variations cause bloat in linear GP

被引：0
|
作者：
Brameier, M [1 ]
Banzhaf, W [1 ]
机构：
[1] Univ Dortmund, Dept Comp Sci, D-44221 Dortmund, Germany
来源：
GENETIC PROGRAMMING, PROCEEDINGS | 2003年 / 2610卷
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D O I：
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中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this contribution we investigate the influence of different variation effects on the growth of code. A mutation-based variant of linear GP is applied that operates with minimum structural step sizes. Results show that neutral variations are a direct cause for (and not only a result of) the emergence and the growth of intron code. The influence of non-neutral variations has been found to be considerably smaller. Neutral variations turned out to be beneficial by solving two classification problems more successfully.
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页码：286 / 296
页数：11
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