Genetic Algorithms for Solving a Physical Facility Layout Problem

Abdel Halim Mahdi 1 Henri Amet 1 Marie-Claude Portmann 1
1 MACSI - Industrial system modeling, analysis and operation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We propose efficient approximate solutions to large size physical facility layout by using two genetic algorithm approaches. Two encoding are formulated : a direct encoding for which specific genetic operators are designed and a mixed encoding where a generator (a placement algorithm) is built to obtain efficient solutions.
Type de document :
Communication dans un congrès
International Conference IFORS`99, 1999, Beijing, China, 1999
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https://hal.inria.fr/inria-00098870
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 08:39:38
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00098870, version 1

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Abdel Halim Mahdi, Henri Amet, Marie-Claude Portmann. Genetic Algorithms for Solving a Physical Facility Layout Problem. International Conference IFORS`99, 1999, Beijing, China, 1999. 〈inria-00098870〉

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