Bringing Evolutionary Computation to Industrial Applications with GUIDE

Luis Da Costa 1 Marc Schoenauer 1, 2, 3
1 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitable knowledge about the solution space is very hard and/or expensive to obtain). However, Evolutionary Algorithms are rarely used outside the circle of knowledgeable practitioners, and in that way have not achieved a status of useful enough tool to assist "general" researchers. We think that part of the blame is the lack of practical implementations of research efforts reflecting a unifying common ground in the field. In this communication we present GUIDE, a software framework incorporating some of the latest results from the EC research community and offering a Graphical User Interface that allows the straightforward manipulation of evolutionary algorithms. From a high-level description provided by the user it generates the code that is needed to run an evolutionary algorithm in a specified existing library (as of March 2009, EO and ECJ are the possible targeted libraries). GUIDE's GUI allows users to acquire a straightforward understanding of EC ideas, while at the same time providing them with a sophisticated research tool. In this communication we present 3 industrial case studies using GUIDE as one of the main tools in order to perform software testing on large, complex systems.
Type de document :
Communication dans un congrès
GECCO 2009, Jul 2009, Montréal, Québec, Canada. 2009
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Contributeur : Luis Da Costa <>
Soumis le : mardi 14 avril 2009 - 20:05:49
Dernière modification le : vendredi 23 février 2018 - 13:42:11
Document(s) archivé(s) le : vendredi 12 octobre 2012 - 16:40:08


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  • HAL Id : inria-00375419, version 1



Luis Da Costa, Marc Schoenauer. Bringing Evolutionary Computation to Industrial Applications with GUIDE. GECCO 2009, Jul 2009, Montréal, Québec, Canada. 2009. 〈inria-00375419〉



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