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arXiv 0910.1238cs.AI
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约束最优路径问题的局部搜索模型(扩展摘要)

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

Brown University(布朗大学)

Quang Dung Pham, Yves Deville, Pascal Van Hentenryck

摘要:

约束最优路径(COP)问题在现实生活中,特别是在通信网络中经常出现。这些问题中的一些已经被考虑并通过通常难以扩展的特定技术解决。在本文中,我们介绍了一种新的局部搜索模型,解决一些COP的局部搜索。该模型具有组合性、模块化、重用性等特点,增强了基于约束的局部搜索的优势。我们还将建模应用于边不相交路径问题(EDP)。我们表明,侧约束可以很容易地添加到模型中。计算结果表明了该方法的有效性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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