A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)

Constrained Optimum Path (COP) problems appear in many real-life applications, especially on communication networks. Some of these problems have been considered and solved by specific techniques which are usually difficult to extend. In this paper, we introduce a novel local search modeling for solv...

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Main Authors: Quang Dung Pham, Yves Deville, Pascal Van Hentenryck
Format: Article
Language:English
Published: Open Publishing Association 2009-10-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/0910.1238v1
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spelling doaj-0e4476fc7ec1422bb186b9db3ba4c12e2020-11-24T22:08:15ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802009-10-015Proc. LSCS 200951110.4204/EPTCS.5.1A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)Quang Dung PhamYves DevillePascal Van HentenryckConstrained Optimum Path (COP) problems appear in many real-life applications, especially on communication networks. Some of these problems have been considered and solved by specific techniques which are usually difficult to extend. In this paper, we introduce a novel local search modeling for solving some COPs by local search. The modeling features the compositionality, modularity, reuse and strengthens the benefits of Constrained-Based Local Search. We also apply the modeling to the edge-disjoint paths problem (EDP). We show that side constraints can easily be added in the model. Computational results show the significance of the approach. http://arxiv.org/pdf/0910.1238v1
collection DOAJ
language English
format Article
sources DOAJ
author Quang Dung Pham
Yves Deville
Pascal Van Hentenryck
spellingShingle Quang Dung Pham
Yves Deville
Pascal Van Hentenryck
A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
Electronic Proceedings in Theoretical Computer Science
author_facet Quang Dung Pham
Yves Deville
Pascal Van Hentenryck
author_sort Quang Dung Pham
title A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
title_short A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
title_full A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
title_fullStr A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
title_full_unstemmed A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
title_sort local search modeling for constrained optimum paths problems (extended abstract)
publisher Open Publishing Association
series Electronic Proceedings in Theoretical Computer Science
issn 2075-2180
publishDate 2009-10-01
description Constrained Optimum Path (COP) problems appear in many real-life applications, especially on communication networks. Some of these problems have been considered and solved by specific techniques which are usually difficult to extend. In this paper, we introduce a novel local search modeling for solving some COPs by local search. The modeling features the compositionality, modularity, reuse and strengthens the benefits of Constrained-Based Local Search. We also apply the modeling to the edge-disjoint paths problem (EDP). We show that side constraints can easily be added in the model. Computational results show the significance of the approach.
url http://arxiv.org/pdf/0910.1238v1
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