Initial populations tests for genetic algorithm flowshop scheduling problems solving with a special blocking

Abstract : In this paper, we consider a flowshop scheduling problem with a special blocking RCb (Release when Completing Blocking). This flexible production system is prevalent in some industrial environments. We propose genetic algorithms for solving these flowshop problems and different initial populations are tested to find the best adapted. Then, different parameters sets are tested in order to find the best for further genetic algorithms populations selection. Best parameters set and results are endly discussed.
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Communication dans un congrès
13th IFAC Symposium on Information Control problems in manufacturing, Jun 2009, Moscou, Russia. 13, pp.1961-1966, 2009, 〈10.3182/20090603-3-RU-2001.00330〉
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https://hal.inria.fr/inria-00600379
Contributeur : Ist Inria Nancy Grand Est <>
Soumis le : mardi 14 juin 2011 - 16:40:17
Dernière modification le : vendredi 16 mars 2018 - 16:12:02

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Christophe Sauvey, Nathalie Sauer. Initial populations tests for genetic algorithm flowshop scheduling problems solving with a special blocking. 13th IFAC Symposium on Information Control problems in manufacturing, Jun 2009, Moscou, Russia. 13, pp.1961-1966, 2009, 〈10.3182/20090603-3-RU-2001.00330〉. 〈inria-00600379〉

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