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Shortest-Route Methods: 1. Reaching, Pruning, and Buckets

Author

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  • Eric V. Denardo

    (Yale University, New Haven, Connecticut)

  • Bennett L. Fox

    (University of Montreal, Montreal, Quebec)

Abstract

We present a new family of shortest-route methods, which reduce an upper bound on running time, and make empirical comparisons for a certain class of networks. These methods also allow for exploitation of structure by pruning arcs and/or nodes.

Suggested Citation

  • Eric V. Denardo & Bennett L. Fox, 1979. "Shortest-Route Methods: 1. Reaching, Pruning, and Buckets," Operations Research, INFORMS, vol. 27(1), pages 161-186, February.
    • Handle: RePEc:inm:oropre:v:27:y:1979:i:1:p:161-186
    DOI: 10.1287/opre.27.1.161
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    Cited by:

    1. Ziliaskopoulos, Athanasios K. & Mandanas, Fotios D. & Mahmassani, Hani S., 2009. "An extension of labeling techniques for finding shortest path trees," European Journal of Operational Research, Elsevier, vol. 198(1), pages 63-72, October.
    2. Daniel Delling & Andrew V. Goldberg & Thomas Pajor & Renato F. Werneck, 2017. "Customizable Route Planning in Road Networks," Transportation Science, INFORMS, vol. 51(2), pages 566-561, May.
    3. Ann Campbell & Michel Gendreau & Barrett Thomas, 2011. "The orienteering problem with stochastic travel and service times," Annals of Operations Research, Springer, vol. 186(1), pages 61-81, June.
    4. Le-Anh, T. & de Koster, M.B.M., 2004. "Real-Time Scheduling Approaches for Vehicle-Based Internal Transport Systems," ERIM Report Series Research in Management ERS-2004-056-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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