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Branch and bound methods for a search problem

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  • Alan R. Washburn

Abstract

The problem of searching for randomly moving targets such as children and submarines is known to be fundamentally difficult, but finding efficient methods for generating optimal or near optimal solutions is nonetheless an important practical problem. This paper investigates the efficiency of Branch and Bound methods, with emphasis on the tradeoff between the accuracy of the bound employed and the time required to compute it. A variety of bounds are investigated, some of which are new. In most cases the best bounds turn out to be imprecise, but very easy to compute. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 243–257, 1998

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  • 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.
    • Handle: RePEc:wly:navres:v:45:y:1998:i:3:p:243-257
    DOI: 10.1002/(SICI)1520-6750(199804)45:33.0.CO;2-7
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    References listed on IDEAS

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    1. James N. Eagle & James R. Yee, 1990. "An Optimal Branch-and-Bound Procedure for the Constrained Path, Moving Target Search Problem," Operations Research, INFORMS, vol. 38(1), pages 110-114, February.
    2. Robert F. Dell & James N. Eagle & Gustavo Henrique Alves Martins & Almir Garnier Santos, 1996. "Using multiple searchers in constrained‐path, moving‐target search problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(4), pages 463-480, June.
    3. Lawrence D. Stone, 1979. "Necessary and Sufficient Conditions for Optimal Search Plans for Moving Targets," Mathematics of Operations Research, INFORMS, vol. 4(4), pages 431-440, November.
    4. Henry R. Richardson & Joseph H. Discenza, 1980. "The United States Coast Guard Computer‐Assisted Search Planning system (CASP)," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 27(4), pages 659-680, December.
    5. Scott Shorey Brown, 1980. "Optimal Search for a Moving Target in Discrete Time and Space," Operations Research, INFORMS, vol. 28(6), pages 1275-1289, December.
    6. Alan R. Washburn, 1983. "Search for a Moving Target: The FAB Algorithm," Operations Research, INFORMS, vol. 31(4), pages 739-751, August.
    7. Alan R. Washburn, 1981. "Technical Note—An Upper Bound Useful in Optimizing Search for a Moving Target," Operations Research, INFORMS, vol. 29(6), pages 1227-1230, December.
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    Cited by:

    1. Bourque, François-Alex, 2019. "Solving the moving target search problem using indistinguishable searchers," European Journal of Operational Research, Elsevier, vol. 275(1), pages 45-52.
    2. M. Barkaoui & J. Berger & A. Boukhtouta, 2019. "An evolutionary approach for the target search problem in uncertain environment," Journal of Combinatorial Optimization, Springer, vol. 38(3), pages 808-835, October.
    3. Johannes O. Royset & Hiroyuki Sato, 2010. "Route optimization for multiple searchers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(8), pages 701-717, December.

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