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Issue RAIRO Oper. Res.
Volume 35, Number 4, October-December 2001
Page(s) 415 - 438
DOI 10.1051/ro:2001123

DOI: 10.1051/ro:2001123


RAIRO Oper. Res. 35 (2001) 415-438

Une approche hybride pour le sac à dos multidimensionnel en variables 0-1

Michel Vasquez1 and Jin-Kao Hao2

1  LGI2P, Parc Scientifique Georges Besse, 30035 Nimes Cedex 1, France ; vasquez@site-eerie.ema.fr.
2  LERIA, Université d'Angers, 2 bd Lavoisier, 49045 Angers Cedex 1, France ; Jin-Kao.Hao@univ-angers.fr.

(Reçu en mars 2000.)

Abstract
We present, in this article, a hybrid approach for solving the 0-1 multidimensional knapsack problem (MKP). This approach combines linear programming and Tabu search. The resulting algorithm improves on the best result on many well-known hard benchmarks.

Résumé
Nous présentons, dans cet article, une approche hybride pour la ré so lu tion du sac à dos multidimensionnel en variables 0-1. Cette approche combine la programmation linéaire et la méthode tabou. L'algorithme ainsi obtenu améliore de manière significative les meilleurs résultats connus sur des instances jugées difficiles.


Key words: Sac-à-dos multidimensionnel, programmation linéaire, recherche tabou.


© EDP Sciences 2001


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