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Algorithmes hybrides génériques pour la résolution de problèmes de satisfaction de contraintes

Published online by Cambridge University Press:  15 October 2005

Hervé Deleau ,
Jin-Kao Hao  and
Frédéric Saubion
Hervé Deleau
Affiliation:
LERIA, Université d'Angers, 2 bd Lavoisier, 49045 Angers, France; deleau@info.univ-angers.fr; hao@info.univ-angers.fr; saubion@info.univ-angers.fr
Jin-Kao Hao
Affiliation:
LERIA, Université d'Angers, 2 bd Lavoisier, 49045 Angers, France; deleau@info.univ-angers.fr; hao@info.univ-angers.fr; saubion@info.univ-angers.fr
Frédéric Saubion
Affiliation:
LERIA, Université d'Angers, 2 bd Lavoisier, 49045 Angers, France; deleau@info.univ-angers.fr; hao@info.univ-angers.fr; saubion@info.univ-angers.fr
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Abstract

Nous présentons dans cet article un algorithme générique hybride permettant de combiner des méthodes complètes (programmation par contraintes) et incomplètes (recherche locale) pour la résolution de problèmes de satisfaction de contraintes. Ce schéma algorithmique basé sur la gestion de populations, utilise des techniques de propagation de contraintes intégrant également des heuristiques de recherche locale. Les structures utilisées autorisent une interaction homogène entre les différentes méthodes mises en œuvre et permettent également de bénéficier de leurs atouts respectifs. Nous proposons alors diverses stratégies de combinaisons dont nous mettons en avant l'intérêt sur quelques exemples par le biais d'une implémentation.

Keywords

Satisfaction de contraintespropagation de contraintesméthodes de recherche hybride.
Type
Research Article
Information
RAIRO - Operations Research , Volume 39 , Issue 2 , April 2005 , pp. 87 - 103
Copyright
© EDP Sciences, 2005

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