Run transferable libraries - Learning functional bias in problem domains

被引：0

作者：

Keijzer, M ^{[1
]}

Ryan, C

Cattolico, M

机构：

[1] Prognosys, Utrecht, Netherlands

[2] Univ Limerick, Limerick, Ireland

[3] Tiger Mt Sci Inc, Kirkland, WA USA

来源：

GENETIC AND EVOLUTIONARY COMPUTATION GECCO 2004 , PT 2, PROCEEDINGS | 2004年 / 3103卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these libraries can solve a selection of standard benchmarks considerably more quickly than GP with ADFs by building knowledge about a problem. Further, we demonstrate that a GP system with these libraries can scale much better than a standard ADF GP system when trained initially on simpler versions of difficult problems.

引用

页码：531 / 542

页数：12

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