EASEA : un langage de specification pour les algorithmes evolutionnaires
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @TechReport{collet:2001:RR4421,
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author = "Pierre Collet and Marc Schoenauer and
Evelyne Lutton and Jean Louchet",
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title = "EASEA : un langage de specification pour les
algorithmes evolutionnaires",
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institution = "INRIA",
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year = "2001",
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number = "RR-4218",
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address = "Domaine de Voluceau - Rocquencourt - B.P. 105 78153 Le
Chesnay Cedex France",
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month = jun,
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keywords = "genetic algorithms, genetic programming, EASEA, Java",
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URL = "ftp://ftp.inria.fr/INRIA/publication/publi-pdf/RR/RR-4218.pdf",
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URL = "https://hal.inria.fr/inria-00000849",
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URL = "https://hal.inria.fr/inria-00000849/file/19_RR4218.pdf",
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hal_id = "inria-00000849",
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hal_version = "v1",
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size = "17 pages",
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abstract = "Contrairement aux apparences, il n'est pas simple
d'ecrire un programme informatique realisant un
algorithme evolutionnaire, d'autant que le manque de
langage specialise oblige l'utilisateur a utiliser C,
C++ ou JAVA. La plupart des algorithmes
evolutionnaires, cependant, possedent une structure
commune, et la part reellement specifique est
constituee par une faible portion du code. Ainsi, il
semble que rien ne s'oppose en theorie a ce qu'un
utilisateur puisse construire, puis faire tourner son
algorithme evolutionnaire a partir d'une interface
graphique, afin de limiter son effort de programmation
a la fonction a optimiser. L'ecriture d'une telle
interface graphique pose tout d'abord le probleme de
sauver et de recharger l'algorithme evolutionnaire sur
lequel l'utilisateur travaille, puis celui de
transformer ces informations en code compilable. Cela
ressemble fort a un language de specification et son
compilateur. Le logiciel EASEA a ete cree dans ce but,
et a notre connaissance, il est actuellement le seul et
unique compilateur de langage specifique aux
algorithmes evolutionnaires. Ce rapport decrit comment
EASEA a ete construit et quels sont les problemes qui
restent a resoudre pour achever son implantation
informatique.",
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abstract = "Evolutionary algorithms are not straightforward to
implement and the lack of any specialised language
forces users to write their algorithms in C, C++ or
JAVA. However, most evolutionary algorithms follow a
similar design, and the only really specific part is
the code representing the problem to be solved.
Therefore, it seems that nothing, in theory, could
prevent a user from being able to design and run his
evolutionary algorithm from a Graphic User Interface,
without any other programming effort than the function
to be optimised. Writing such a GUI rapidly poses the
problem of saving and reloading the evolutionary
algorithm on which the user is working, and translating
the information into compilable code. This very much
sounds like a specifying language and its compiler. The
EASEA software was created on this purpose, and to our
knowledge, it is the first and only usable compiler of
a language specific to evolutionary algorithms. This
reprot describes how EASEA has been designed and the
problems which needed to be solved to achieve its
implementation.",
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notes = "In english. Also known as \cite{CSLL-juin2001}",
- }
Genetic Programming entries for
Pierre Collet
Marc Schoenauer
Evelyne Lutton
Jean Louchet
Citations