Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{eurogp:LasarczykB05,
author = "Christian Lasarczyk and Wolfgang Banzhaf",
editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
title = "An Algorithmic Chemistry for Genetic Programming",
booktitle = "Proceedings of the 8th European Conference on Genetic
Programming",
publisher = "Springer",
series = "Lecture Notes in Computer Science",
volume = "3447",
year = "2005",
address = "Lausanne, Switzerland",
month = "30 " # mar # " - 1 " # apr,
organisation = "EvoNet",
keywords = "genetic algorithms, genetic programming",
ISBN = "3-540-25436-6",
pages = "1--12",
URL = "
http://ls11-www.cs.uni-dortmund.de/downloads/papers/LaBa05.pdf",
URL = "
http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3447&spage=1",
doi = "
doi:10.1007/b107383",
bibsource = "DBLP, http://dblp.uni-trier.de",
abstract = "Genetic Programming has been slow at realizing other
programming paradigms than conventional, deterministic,
sequential von- Neumann type algorithms. In this
contribution we discuss a new method of execution of
programs introduced recently: Algorithmic Chemistries.
Therein, register machine instructions are executed in
a non-deterministic order, following a probability
distribution. Program behaviour is thus highly
dependent on frequency of instructions and connectivity
between registers. Here we demonstrate the performance
of GP on evolving solutions to a parity problem in a
system of this type.",
notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005",
}
Genetic Programming entries for Christian W G Lasarczyk Wolfgang Banzhaf