Nested Partitions and Its Applications to the Intermodal Hub Location Problem
نویسندگان
چکیده
The Nested Partitions (NP) method has been proven to be a useful framework for effectively solving large-scale discrete optimization problems. In this paper, we provide a brief review of the NP method and its applications. We then present a hybrid algorithm that integrates mathematical programming lower bound into the sampling procedure of the NP framework. The efficiency of the hybrid algorithm is demonstrated by the Intermodal Hub Location Problem (IHLP), a class of discrete facility location problems. Computational results show that the hybrid approach is superior to the integer programming approach and the Lagrangian relaxation approach.
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تاریخ انتشار 2007