| HAL : hal-00574226, version 1 |
| arXiv : 1103.1516 |
| Fiche détaillée | Récupérer au format |
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| International Conference CPAIOR 2011, Berlin : Allemagne (2011) |
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| Climbing depth-bounded adjacent discrepancy search for solving hybrid flow shop scheduling problems with multiprocessor tasks |
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Asma Lahimer 1Pierre Lopez 1 |
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| (05/2011) |
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| This paper considers multiprocessor task scheduling in a multistage hybrid flow-shop environment. The problem even in its simplest form is NP-hard in the strong sense. The great deal of interest for this problem, besides its theoretical complexity, is animated by needs of various manufacturing and computing systems. We propose a new approach based on limited discrepancy search to solve the problem. Our method is tested with reference to a proposed lower bound as well as the best-known solutions in literature. Computational results show that the developed approach is efficient in particular for large-size problems. |
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| 1 : | Laboratoire d'analyse et d'architecture des systèmes (LAAS) |
| CNRS : UPR8001 – Université Paul Sabatier - Toulouse III – Institut National Polytechnique de Toulouse - INPT – Institut National des Sciences Appliquées de Toulouse | |
| 2 : | INSAT |
| Institut National des Sciences Appliquées et de Technologie | |
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| LAAS-MOGISA |
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| Domaine | : | Informatique/Recherche opérationnelle Informatique/Intelligence artificielle |
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| Liste des fichiers attachés à ce document : | ||||||||||
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| hal-00574226, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00574226 | |
| oai:hal.archives-ouvertes.fr:hal-00574226 | |
| Contributeur : Pierre Lopez | |
| Soumis le : Lundi 7 Mars 2011, 15:00:15 | |
| Dernière modification le : Mardi 7 Juin 2011, 15:20:32 | |