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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.
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https://hal.inria.fr/inria-00098870
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 8:39:38 AM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

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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, IFORS, 1999, Beijing, China. ⟨inria-00098870⟩

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