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An auction-based approach for the re-optimization shortest path tree problem

Author

Listed:
  • P. Festa

    (University of Napoli Federico II)

  • F. Guerriero

    (University of Calabria)

  • A. Napoletano

    (University of Napoli Federico II)

Abstract

The shortest path tree problem is one of the most studied problems in network optimization. Given a directed weighted graph, the aim is to find a shortest path from a given origin node to any other node of the graph. When any change occurs (i.e., the origin node is changed, some nodes/arcs are added/removed to/from the graph, the cost of a subset of arcs is increased/decreased), in order to determine a (still) optimal solution, two different strategies can be followed: a re-optimization algorithm is applied starting from the current optimal solution or a new optimal solution is built from scratch. Generally speaking, the Re-optimization Shortest Path Tree Problem (R-SPTP) consists in solving a sequence of shortest path problems, where the kth problem differs only slightly from the $$(k-1){th}$$(k-1)th one, by exploiting the useful information available after each shortest path tree computation. In this paper, we propose an exact algorithm for the R-SPTP, in the case of origin node change. The proposed strategy is based on a dual approach, which adopts a strongly polynomial auction algorithm to extend the solution under construction. The approach is evaluated on a large set of test problems. The computational results underline that it is very promising and outperforms or at least is not worse than the solution approaches reported in the literature.

Suggested Citation

  • P. Festa & F. Guerriero & A. Napoletano, 2019. "An auction-based approach for the re-optimization shortest path tree problem," Computational Optimization and Applications, Springer, vol. 74(3), pages 851-893, December.
    • Handle: RePEc:spr:coopap:v:74:y:2019:i:3:d:10.1007_s10589-019-00132-7
    DOI: 10.1007/s10589-019-00132-7
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    References listed on IDEAS

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