[article]
Titre : |
Metaheuristics for scheduling jobs with incompatible families on parallel batching machines |
Type de document : |
texte imprimé |
Auteurs : |
C. Almeder, Auteur ; L. Mönch, Auteur |
Année de publication : |
2011 |
Article en page(s) : |
pp. 2083–2096 |
Note générale : |
Recherche opérationnelle |
Langues : |
Anglais (eng) |
Mots-clés : |
Batching Scheduling Ant colony optimization Variable neighbourhood search Total weighted tardiness |
Index. décimale : |
001.424 |
Résumé : |
In this paper, we discuss the scheduling of jobs with incompatible families on parallel batching machines. The performance measure is total weighted tardiness. This research is motivated by a scheduling problem found in the diffusion and oxidation areas of semiconductor wafer fabrication where the machines can be modelled as parallel batch processors. Given that this scheduling problem is NP-hard, we suggest an ant colony optimization (ACO) and a variable neighbourhood search (VNS) approach. Both metaheuristics are hybridized with a decomposition heuristic and a local search scheme. We compare the performance of the two algorithms with that of a genetic algorithm (GA) based on extensive computational experiments. The VNS approach outperforms the ACO and GA approach with respect to time and solution quality. |
DEWEY : |
001.424 |
ISSN : |
0160-5682 |
En ligne : |
http://www.palgrave-journals.com/jors/journal/v62/n12/abs/jors2010186a.html |
in Journal of the operational research society (JORS) > Vol. 62 N° 12 (Décembre 2011) . - pp. 2083–2096
[article] Metaheuristics for scheduling jobs with incompatible families on parallel batching machines [texte imprimé] / C. Almeder, Auteur ; L. Mönch, Auteur . - 2011 . - pp. 2083–2096. Recherche opérationnelle Langues : Anglais ( eng) in Journal of the operational research society (JORS) > Vol. 62 N° 12 (Décembre 2011) . - pp. 2083–2096
Mots-clés : |
Batching Scheduling Ant colony optimization Variable neighbourhood search Total weighted tardiness |
Index. décimale : |
001.424 |
Résumé : |
In this paper, we discuss the scheduling of jobs with incompatible families on parallel batching machines. The performance measure is total weighted tardiness. This research is motivated by a scheduling problem found in the diffusion and oxidation areas of semiconductor wafer fabrication where the machines can be modelled as parallel batch processors. Given that this scheduling problem is NP-hard, we suggest an ant colony optimization (ACO) and a variable neighbourhood search (VNS) approach. Both metaheuristics are hybridized with a decomposition heuristic and a local search scheme. We compare the performance of the two algorithms with that of a genetic algorithm (GA) based on extensive computational experiments. The VNS approach outperforms the ACO and GA approach with respect to time and solution quality. |
DEWEY : |
001.424 |
ISSN : |
0160-5682 |
En ligne : |
http://www.palgrave-journals.com/jors/journal/v62/n12/abs/jors2010186a.html |
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