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Nested Partitions and Its Applications to the Intermodal Hub Location Problem

  • Weiwei Chen
  • Liang Pi
  • Leyuan Shi
Chapter
Part of the Springer Optimization and Its Applications book series (SOIA, volume 30)

Summary

The nested partitions (NP) method has been proven to be a useful framework for effectively solving large-scale discrete optimization problems. In this chapter, we provide a brief review of the NP method and its applications. We then present a hybrid algorithm that integrates mathematical programming with 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 method.

Keywords

Linear Programming Problem Hybrid Algorithm Mixed Integer Programming Lagrangian Relaxation Facility Location Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  1. 1.Department of Industrial and Systems EngineeringUniversity of Wisconsin-MadisonMadison
  2. 2.Department of Industrial and Systems EngineeringUniversity of Wisconsin-MadisonMadison
  3. 3.Department of Industrial and Systems EngineeringUniversity of Wisconsin-MadisonMadison

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