On the Architecture and Implementation of Tree-based Genetic Programming in HeuristicLab

被引：0
|
作者：
Kommenda, Michael [1 ]
Kronberger, Gabriel [1 ]
Wagner, Stefan [1 ]
Winkler, Stephan [1 ]
Affenzeller, Michael [1 ]
机构：
[1] Univ Appl Sci Upper Austria, Sch Informat Commun & Media, Softwarepk 11, A-4232 Hagenberg, Austria
来源：
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12) | 2012年
关键词：
Genetic Programming; Symbolic Regression; HeuristicLab;
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 article describes the architecture and inplementation of the genetic progranmming (GP) framework of HeuristicLab. In particular we focus on the core design goals, namely extensibility, usability, and performance optimization and explain our approach to reach these goals. The overall design, the encoding, interpretation, and evaluation of programs is described and code examples are given to explain core aspects of the framework. HeuristicLab is available as open source software at http://dev.heuristiclab.com.
引用
收藏
页码：101 / 108
页数：8
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