Genetic Algorithm for flowshop scheduling problem using data oriented operators

Antony Vignier 1 Abdel Halim Mahdi 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 : The general flowshop scheduling problem is approximately solved using a genetic algorithm. Chromosomes are classically encoded using permutation strings for each machine. The data-oriented operators use both the permutation strings and problem instances. The beginning of one parent is copied inside the first offspring which is completed with a priority rule generator using data of the second parents. The second offspring is obtained in a similar way. Several cross-over operators are designed. Some of them work only on the permutation encoding, other ones are data oriented.
Type de document :
Communication dans un congrès
Optimization Days - JOPT'99, 1999, Montréal, Canada, 1999
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https://hal.inria.fr/inria-00098866
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Soumis le : mardi 26 septembre 2006 - 08:39:37
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00098866, version 1

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Antony Vignier, Abdel Halim Mahdi, Marie-Claude Portmann. Genetic Algorithm for flowshop scheduling problem using data oriented operators. Optimization Days - JOPT'99, 1999, Montréal, Canada, 1999. 〈inria-00098866〉

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