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A comprehensive survey on the quickest path problem

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  • Marta Pascoal
  • M. Captivo
  • João Clímaco

Abstract

This work is a survey on a special minsum-maxmin bicriteria problem, known as the quickest path problem, that can model the transmission of data between two nodes of a network. Moreover, the authors review the problems of ranking the K quickest paths, and the K quickest loopless paths, and compare them in terms of the worst-case complexity order. The classification presented led to the proposal of a new variant of a known K quickest loopless paths algorithm. Finally, applications of quickest path algorithms are mentioned, as well as some comparative empirical results. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Marta Pascoal & M. Captivo & João Clímaco, 2006. "A comprehensive survey on the quickest path problem," Annals of Operations Research, Springer, vol. 147(1), pages 5-21, October.
    • Handle: RePEc:spr:annopr:v:147:y:2006:i:1:p:5-21:10.1007/s10479-006-0068-x
    DOI: 10.1007/s10479-006-0068-x
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    References listed on IDEAS

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    1. Michael Hart Moore, 1976. "On the Fastest Route for Convoy-Type Traffic in Flowrate-Constrained Networks," Transportation Science, INFORMS, vol. 10(2), pages 113-124, May.
    2. Jin Y. Yen, 1971. "Finding the K Shortest Loopless Paths in a Network," Management Science, INFORMS, vol. 17(11), pages 712-716, July.
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    Cited by:

    1. Mehdi Ghiyasvand & Azam Ramezanipour, 2018. "Solving the MCQP, MLT, and MMLT problems and computing weakly and strongly stable quickest paths," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(2), pages 217-230, June.
    2. Urmila Pyakurel & Tanka Nath Dhamala, 2017. "Continuous Dynamic Contraflow Approach for Evacuation Planning," Annals of Operations Research, Springer, vol. 253(1), pages 573-598, June.
    3. Urmila Pyakurel & Hari Nandan Nath & Stephan Dempe & Tanka Nath Dhamala, 2019. "Efficient Dynamic Flow Algorithms for Evacuation Planning Problems with Partial Lane Reversal," Mathematics, MDPI, vol. 7(10), pages 1-29, October.
    4. Yu-Cheng Chou & Po Ting Lin, 2015. "An efficient and robust design optimisation of multi-state flow network for multiple commodities using generalised reliability evaluation algorithm and edge reduction method," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(14), pages 2659-2672, October.
    5. Calvete, Herminia I. & del-Pozo, Lourdes & Iranzo, José A., 2018. "Dealing with residual energy when transmitting data in energy-constrained capacitated networks," European Journal of Operational Research, Elsevier, vol. 269(2), pages 602-620.
    6. Pyakurel, Urmila & Khanal, Durga Prasad & Dhamala, Tanka Nath, 2023. "Abstract network flow with intermediate storage for evacuation planning," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1178-1193.
    7. Sedeño-Noda, Antonio & González-Barrera, Jonathan D., 2014. "Fast and fine quickest path algorithm," European Journal of Operational Research, Elsevier, vol. 238(2), pages 596-606.
    8. Melchiori, Anna & Sgalambro, Antonino, 2020. "A branch and price algorithm to solve the Quickest Multicommodity k-splittable Flow Problem," European Journal of Operational Research, Elsevier, vol. 282(3), pages 846-857.
    9. Urmila Pyakurel & Tanka Nath Dhamala & Stephan Dempe, 2017. "Efficient continuous contraflow algorithms for evacuation planning problems," Annals of Operations Research, Springer, vol. 254(1), pages 335-364, July.
    10. Urmila Pyakurel & Hari Nandan Nath & Tanka Nath Dhamala, 2019. "Partial contraflow with path reversals for evacuation planning," Annals of Operations Research, Springer, vol. 283(1), pages 591-612, December.
    11. Herminia Calvete & Lourdes del-Pozo & José Iranzo, 2012. "Algorithms for the quickest path problem and the reliable quickest path problem," Computational Management Science, Springer, vol. 9(2), pages 255-272, May.

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