Genetic programming is a technique to automatically
discover computer programs using principles of
Darwinian evolution. This chapter introduces the basics
of genetic programming. To make the material more
suitable for beginners, these are illustrated with an
extensive example. In addition, the chapter touches
upon some of the more advanced variants of genetic
programming as well as its theoretical foundations.
Numerous pointers to further reading, software tools
and Web sites are also provided.
Introductory Tutorials in Optimization, Search and
Decision Support
year
2003
chapter
8
howpublished
www
notes
Replaced by
koza:2005:gpt
http://www.mistaconference.org/intros03/ INtroductory
TutoRials in Optimization, Search and decision support
methodologies (INTROS'03) Tuesday 12th August 2003,
Nottingham, UK
%0 Generic
%1 koza:2003:gpt
%A Koza, John R.
%A Poli, Riccardo
%B Introductory Tutorials in Optimization, Search and
Decision Support
%D 2003
%E Burke, Edmond
%K algorithms, genetic human-competitive intelligence, learning, machine programming, schema theory
%T A Genetic Programming Tutorial
%U http://www.genetic-programming.com/jkpdf/burke2003tutorial.pdf
%X Genetic programming is a technique to automatically
discover computer programs using principles of
Darwinian evolution. This chapter introduces the basics
of genetic programming. To make the material more
suitable for beginners, these are illustrated with an
extensive example. In addition, the chapter touches
upon some of the more advanced variants of genetic
programming as well as its theoretical foundations.
Numerous pointers to further reading, software tools
and Web sites are also provided.
%& 8
@misc{koza:2003:gpt,
abstract = {Genetic programming is a technique to automatically
discover computer programs using principles of
Darwinian evolution. This chapter introduces the basics
of genetic programming. To make the material more
suitable for beginners, these are illustrated with an
extensive example. In addition, the chapter touches
upon some of the more advanced variants of genetic
programming as well as its theoretical foundations.
Numerous pointers to further reading, software tools
and Web sites are also provided.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Koza, John R. and Poli, Riccardo},
biburl = {https://www.bibsonomy.org/bibtex/262796afc2b682550546014c1c133b3b0/brazovayeye},
booktitle = {Introductory Tutorials in Optimization, Search and
Decision Support},
chapter = 8,
editor = {Burke, Edmond},
howpublished = {www},
interhash = {68a5e33473cd020f14901594df62f596},
intrahash = {62796afc2b682550546014c1c133b3b0},
keywords = {algorithms, genetic human-competitive intelligence, learning, machine programming, schema theory},
notes = {Replaced by
\cite{koza:2005:gpt}
http://www.mistaconference.org/intros03/ INtroductory
TutoRials in Optimization, Search and decision support
methodologies (INTROS'03) Tuesday 12th August 2003,
Nottingham, UK},
size = {40 pages},
timestamp = {2008-06-19T17:44:15.000+0200},
title = {A Genetic Programming Tutorial},
url = {http://www.genetic-programming.com/jkpdf/burke2003tutorial.pdf},
year = 2003
}