P. Smith. Advances in Soft Computing, page 166--171. De Montfort University, Leicester, UK, Physica-Verlag, (2000)
Abstract
It has been known since the early days of Genetic
Programming that the evolutionary process tends to
stagnate after a certain number of generations.
Furthermore, during the evolutionary process, there is
an inexorable and sometimes exponential increase in the
average size of programs in a population. This has been
called bloat. The major cause of this bloat appears to
be caused by introns - sections of non-functional code.
In this paper introns are categorised and different
approaches to the control of code growth are
described.
%0 Conference Paper
%1 PWHSmith:2000:ccgGP
%A Smith, P. W. H.
%B Advances in Soft Computing
%C De Montfort University, Leicester, UK
%D 2000
%E John, Robert
%E Birkenhead, Ralph
%I Physica-Verlag
%K Bloat, Code Introns, Parsimony Pressure algorithms, genetic programming,
%P 166--171
%T Controlling Code Growth in Genetic Programming
%U http://citeseer.ist.psu.edu/475882.html
%X It has been known since the early days of Genetic
Programming that the evolutionary process tends to
stagnate after a certain number of generations.
Furthermore, during the evolutionary process, there is
an inexorable and sometimes exponential increase in the
average size of programs in a population. This has been
called bloat. The major cause of this bloat appears to
be caused by introns - sections of non-functional code.
In this paper introns are categorised and different
approaches to the control of code growth are
described.
%@ 3-7908-1257-9
@inproceedings{PWHSmith:2000:ccgGP,
abstract = {It has been known since the early days of Genetic
Programming that the evolutionary process tends to
stagnate after a certain number of generations.
Furthermore, during the evolutionary process, there is
an inexorable and sometimes exponential increase in the
average size of programs in a population. This has been
called bloat. The major cause of this bloat appears to
be caused by introns - sections of non-functional code.
In this paper introns are categorised and different
approaches to the control of code growth are
described.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {De Montfort University, Leicester, UK},
author = {Smith, P. W. H.},
biburl = {https://www.bibsonomy.org/bibtex/2649ba5d17048143229c1e2ac6ddfd42a/brazovayeye},
booktitle = {Advances in Soft Computing},
editor = {John, Robert and Birkenhead, Ralph},
interhash = {ec6ec8a465d546add85e0783bd5196f7},
intrahash = {649ba5d17048143229c1e2ac6ddfd42a},
isbn = {3-7908-1257-9},
keywords = {Bloat, Code Introns, Parsimony Pressure algorithms, genetic programming,},
notes = {Published in 2000},
pages = {166--171},
publisher = {Physica-Verlag},
size = {6 pages},
timestamp = {2008-06-19T17:51:52.000+0200},
title = {Controlling Code Growth in Genetic Programming},
url = {http://citeseer.ist.psu.edu/475882.html},
year = 2000
}