Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{valigiani:2004:eurogp,
author = "Gregory Valigiani and Cyril Fonlupt and
Pierre Collet",
title = "Analysis of {GP} Improvement Techniques over the
Real-World Inverse Problem of Ocean Color",
booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
year = "2004",
editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
volume = "3003",
series = "LNCS",
pages = "174--186",
address = "Coimbra, Portugal",
publisher_address = "Berlin",
month = "5-7 " # apr,
organisation = "EvoNet",
publisher = "Springer-Verlag",
keywords = "genetic algorithms, genetic programming",
ISBN = "3-540-21346-5",
URL = "
http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3003&spage=174",
abstract = "Following Maarten Keijzer's EUROGP'03 paper
\cite{keijzer03} (which suggested using Interval
Arithmetic (IA) and Linear Scaling (LS) in Genetic
Programming), we decided to experiment with them on a
real-world problem on which the LIL research team had
some experience: the Ocean Colour Inverse Problem.
After extensive testing of IA, LS as well as a
progressive learning method using thresholds (T),
results seem to show that functions evolved with GP
algorithms that do not implement IA may output
erroneous values outside the learning set, while LS and
T methods produce solutions with a greater
generalisation error. A simple and apparently harmless
improvement over standard GP is also proposed, that
consists in weighting operands of + and - operators.",
notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
}
Genetic Programming entries for Gregory Valigiani Cyril Fonlupt Pierre Collet