BibSonomy :: bibtex  ::

tag user group author concept BibTeX key search:all search:brazovayeye
A blue social bookmark and publication sharing system.
tags · relations · groups · popular
help · blog · about
login · register
brazovayeye's BibTeX entry:  

Chameleon: a Generic Tool for Genetic Programming

III Encontro Nacional de Inteligencia Artificial, 2001.
Authors: Eduardo Spinosa and Aurora T. R. Pozo and Silvia R. Vergilio and Ernesto L. M. Rodrigues
Tags: algorithms, genetic programming
Abstract: Genetic Programming has been largely applied for solving a wide variety of problems. However, each GP application is often built independently, based on specific aspects of the problem. This paper introduces Chameleon, a generic tool designed with the goal of being configurable to solve problems in different areas, with no need to perform significant changes on its kernel structure. We show an example of Chameleon being used to implement the classic symbolic regression problem: finding an equation given a set of points. The influence of the GP parameters in the overall evolution process is also discussed by an analysis of the symbolic regression test results.
| BibTeX  
@inproceedings{Spinosa:2001:gtgp,
title = {Chameleon: a Generic Tool for Genetic Programming},
address = {Fortaleza, CE, Brasil},
author = {Eduardo Spinosa and Aurora T. R. Pozo and Silvia R. Vergilio and Ernesto L. M. Rodrigues},
booktitle = {III Encontro Nacional de Inteligencia Artificial},
year = {2001},
abstract = {Genetic Programming has been largely applied for solving a wide variety of problems. However, each GP application is often built independently, based on specific aspects of the problem. This paper introduces Chameleon, a generic tool designed with the goal of being configurable to solve problems in different areas, with no need to perform significant changes on its kernel structure. We show an example of Chameleon being used to implement the classic symbolic regression problem: finding an equation given a set of points. The influence of the GP parameters in the overall evolution process is also discussed by an analysis of the symbolic regression test results.},
notes = {http://www.lbd.dcc.ufmg.br/bdbcomp/servlet/Trabalho?id=2336},
keywords = {algorithms, genetic programming }
}