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Search for a Moving Target: The FAB Algorithm

Author

Listed:
  • Alan R. Washburn

    (Naval Postgraduate School, Monterey, California)

Abstract

We propose and study an iterative Forward And Backward (FAB) algorithm applicable to the problem of computing optimal search plans when the target's motion is modeled by a discrete space and time Markov chain. This paper generalizes the class of objective functions to which the method applies.

Suggested Citation

  • Alan R. Washburn, 1983. "Search for a Moving Target: The FAB Algorithm," Operations Research, INFORMS, vol. 31(4), pages 739-751, August.
    • Handle: RePEc:inm:oropre:v:31:y:1983:i:4:p:739-751
    DOI: 10.1287/opre.31.4.739
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    Citations

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    Cited by:

    1. Hiroyuki Sato & Johannes O. Royset, 2010. "Path optimization for the resource‐constrained searcher," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(5), pages 422-440, August.
    2. Hohzaki, Ryusuke & Iida, Koji, 1997. "Optimal strategy of route and look for the path constrained search problem with reward criterion," European Journal of Operational Research, Elsevier, vol. 100(1), pages 236-249, July.
    3. Duvocelle, Benoit & Flesch, János & Staudigl, Mathias & Vermeulen, Dries, 2022. "A competitive search game with a moving target," European Journal of Operational Research, Elsevier, vol. 303(2), pages 945-957.
    4. Frédéric Dambreville & Jean‐Pierre Le Cadre, 2002. "Detection of a Markovian target with optimization of the search efforts under generalized linear constraints," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(2), pages 117-142, March.
    5. Lyn C. Thomas & James N. Eagle, 1995. "Criteria and approximate methods for path‐constrained moving‐target search problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(1), pages 27-38, February.
    6. Hohzaki, Ryusuke, 2006. "Search allocation game," European Journal of Operational Research, Elsevier, vol. 172(1), pages 101-119, July.
    7. Baycik, N. Orkun & Sharkey, Thomas C. & Rainwater, Chase E., 2020. "A Markov Decision Process approach for balancing intelligence and interdiction operations in city-level drug trafficking enforcement," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    8. Lawrence D. Stone & Alan R. Washburn, 1991. "Introduction special issue on search theory," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(4), pages 465-468, August.
    9. Hohzaki, Ryusuke & Iida, Koji, 2001. "Optimal ambushing search for a moving target," European Journal of Operational Research, Elsevier, vol. 133(1), pages 120-129, August.
    10. Frédéric Dambreville & Jean‐Pierre Le Cadre, 2007. "Constrained minimax optimization of continuous search efforts for the detection of a stationary target," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(6), pages 589-601, September.
    11. Alan R. Washburn, 1998. "Branch and bound methods for a search problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 45(3), pages 243-257, April.
    12. Velarde, Luis Guillermo C. & Migon, Helio S. & Alcoforado, David A., 2008. "Hierarchical Bayesian models applied to air surveillance radars," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1155-1162, February.

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