EASEA : un langage de specification pour les algorithmes evolutionnaires

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@TechReport{collet:2001:RR4421,

• author = "Pierre Collet and Marc Schoenauer and Evelyne Lutton and Jean Louchet",
• title = "EASEA : un langage de specification pour les algorithmes evolutionnaires",
• institution = "INRIA",
• year = "2001",
• number = "RR-4218",
• address = "Domaine de Voluceau - Rocquencourt - B.P. 105 78153 Le Chesnay Cedex France",
• month = jun,
• keywords = "genetic algorithms, genetic programming, EASEA, Java",
• URL = "ftp://ftp.inria.fr/INRIA/publication/publi-pdf/RR/RR-4218.pdf",
• URL = "https://hal.inria.fr/inria-00000849",
• URL = "https://hal.inria.fr/inria-00000849/file/19_RR4218.pdf",
• hal_id = "inria-00000849",
• hal_version = "v1",
• size = "17 pages",
• 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.",
• 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.",
• notes = "In english. Also known as \cite{CSLL-juin2001}",

}

Genetic Programming entries for Pierre Collet Marc Schoenauer Evelyne Lutton Jean Louchet

Citations