Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{bolis:2001:EuroGP,
author = "Enzo Bolis and Christian Zerbi and Pierre Collet and
Jean Louchet and Evelyne Lutton",
title = "A {GP} Artificial Ant for image processing:
preliminary experiments with {EASEA}",
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 = "246--255",
address = "Lake Como, Italy",
publisher_address = "Berlin",
month = "18-20 " # apr,
organisation = "EvoNET",
publisher = "Springer-Verlag",
keywords = "genetic algorithms, genetic programming, Image
processing, Contour detection, EASEA, Animat",
ISBN = "3-540-41899-7",
URL = "
http://minimum.inria.fr/evo-lab/Publications/EuroGPFinal.ps.gz",
URL = "
http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=246",
size = "10 pages",
abstract = "This paper describes how animat-based {"}food
foraging{"} techniques may be applied to the design of
low-level image processing algorithms. First, we show
how we implemented the food foraging application using
the EASEA software package. We then use this technique
to evolve an animat and learn how to move inside images
and detect high-gradient lines with a minimum
exploration time. The resulting animats do not use
standard {"}scanning + filtering{"} techniques but
develop other image exploration strategies close to
contour tracking. Experimental results on grey level
images are presented.",
notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
}
Genetic Programming entries for Enzo Bolis Christian Zerbi Pierre Collet Jean Louchet Evelyne Lutton