A GP Artificial Ant for image processing: preliminary experiments with EASEA
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{bolis:2001:EuroGP,
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author = "Enzo Bolis and Christian Zerbi and Pierre Collet and
Jean Louchet and Evelyne Lutton",
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title = "A GP Artificial Ant for image processing: preliminary
experiments with EASEA",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "246--255",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Image
processing, Contour detection, EASEA, Animat: Poster",
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ISBN = "3-540-41899-7",
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URL = "http://minimum.inria.fr/evo-lab/Publications/EuroGPFinal.ps.gz",
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DOI = "doi:10.1007/3-540-45355-5_19",
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size = "10 pages",
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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.",
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notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
- }
Genetic Programming entries for
Enzo Bolis
Christian Zerbi
Pierre Collet
Jean Louchet
Evelyne Lutton
Citations