RGP: An Open Source Genetic Programming System for the R Environment

被引:0
作者
Flasch, Oliver [1 ]
Mersmann, Olaf [2 ]
Bartz-Beielstein, Thomas [1 ]
机构
[1] Cologne Univ Appl Sci, Dept Comp Sci & Engn Sci, D-51643 Gummersbach, Germany
[2] Tech Univ Dortmund, Dept Stat, D-44221 Dortmund, Germany
来源
GECCO-2010 COMPANION PUBLICATION: PROCEEDINGS OF THE 12TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 2010年
关键词
Late Breaking Abstract; Genetic Programming; Software; Symbolic Regression;
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
RGP is a new genetic programming system based on the R environment. The system implements classical untyped tree-based genetic programming as well as more advanced variants including, for example, strongly typed genetic programming and Pareto genetic programming. It strives for high modularity through a consistent architecture that allows the customization and replacement of every algorithm component, while maintaining accessibility for new users by adhering to the "convention over configuration" principle. Typical GP applications are supported by standard R interfaces. For example, symbolic regression via GP is supported by the same "formula interface" as linear regression in R. RGP is freely available as an open source R package.
引用
收藏
页码:2071 / +
页数:2
相关论文
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