Created by W.Langdon from gp-bibliography.bib Revision:1.1944
@InProceedings{brucherseifer:2001:EuroGP,
author = "Eva Brucherseifer and Peter Bechtel and
Stephan Freyer and Peter Marenbach",
title = "An Indirect Block-Oriented Representation for Genetic
Programming",
booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
year = "2001",
editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
volume = "2038",
series = "LNCS",
pages = "268--279",
address = "Lake Como, Italy",
publisher_address = "Berlin",
month = "18-20 " # apr,
organisation = "EvoNET",
publisher = "Springer-Verlag",
keywords = "genetic algorithms, genetic programming,
Block-oriented representation, Biotechnology, Process
modelling, Controller design, Causality",
ISBN = "3-540-41899-7",
URL = "
http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=268",
size = "12 pages",
abstract = "When Genetic Programming (GP) is applied to system
identification or controller design different codings
can be used for internal representation of the
individuals. One common approach is a block-oriented
representation where nodes of the tree structure
directly correspond to blocks in a block diagram. In
this paper we present an indirect block-oriented
representation, which adopts some aspects of the way
humans perform the modelling in order to increase the
GP system's performance. A causality measure based on
an edit distance is examined to compare the direct an
the indirect representation. Finally, results from a
real world application of the indirect block-oriented
representation are presented.",
notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
}
Genetic Programming entries for Eva Brucherseifer Peter Bechtel Stephan Freyer Peter Marenbach