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Development and Application of CM-GATS Algorithms in Solving Large Multilevel Hierarchical Network Design Problems

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  • Kijmanawat, Kerati
  • Ieda, Hitoshi

Abstract

This study discusses a method that overcomes the size limitations in solving large size multilevel hierarchical hub location problem with a single allocation by using a stepwise solving approach called CM-GATS. This model uses a clustering algorithm to divide a given network into several small clusters with a manageable number of nodes then separately use hybrid heuristic algorithm based on Genetic Algorithm and Tabu Search to solve each cluster. The applicability of the proposed model in solving large multilevel hierarchical network design problems was verified by providing calculation results of CM-GATS in a large network containing up to 2,000 nodes.

Suggested Citation

  • Kijmanawat, Kerati & Ieda, Hitoshi, 2005. "Development and Application of CM-GATS Algorithms in Solving Large Multilevel Hierarchical Network Design Problems," Research in Transportation Economics, Elsevier, vol. 13(1), pages 121-142, January.
    • Handle: RePEc:eee:retrec:v:13:y:2005:i:1:p:121-142
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    1. Koskosidis, Yiannis A. & Powell, Warren B., 1992. "Clustering algorithms for consolidation of customer orders into vehicle shipments," Transportation Research Part B: Methodological, Elsevier, vol. 26(5), pages 365-379, October.
    2. Klincewicz, J. G., 1991. "Heuristics for the p-hub location problem," European Journal of Operational Research, Elsevier, vol. 53(1), pages 25-37, July.
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