Computer Science – Artificial Intelligence
Scientific paper
2009-10-07
EPTCS 5, 2009, pp. 5-11
Computer Science
Artificial Intelligence
Scientific paper
10.4204/EPTCS.5.1
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.
Deville Yves
Hentenryck Pascal Van
Pham Quang Dung
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