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The search for an alerted moving target

Author

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  • J F J Vermeulen

    (TNO Physics and Electronics Laboratory)

  • M van den Brink

    (TNO Physics and Electronics Laboratory)

Abstract

We investigate a two-sided, multi-stage search problem where a continuous search effort is made by one or more search units to detect a moving target in a continuous target space, under noisy detection conditions. A specific example of this problem is hunting for an enemy submarine by naval forces. So far, this problem has not been solved, because of the difficulty of predicting the target's behaviour. In finding promising routes for the search units, a heuristic has been developed. To obtain these routes, at every decision moment in time an optimal point to go to must be determined. This amounts to finding at every decision moment an optimum of a function that changes over time.

Suggested Citation

  • J F J Vermeulen & M van den Brink, 2005. "The search for an alerted moving target," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 514-525, May.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:5:d:10.1057_palgrave.jors.2601847
    DOI: 10.1057/palgrave.jors.2601847
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    References listed on IDEAS

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    1. Lyn C. Thomas & Alan R. Washburn, 1991. "Dynamic Search Games," Operations Research, INFORMS, vol. 39(3), pages 415-422, June.
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    4. 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.
    5. K. E. Trummel & J. R. Weisinger, 1986. "Technical Note—The Complexity of the Optimal Searcher Path Problem," Operations Research, INFORMS, vol. 34(2), pages 324-327, April.
    6. John M. Danskin, 1968. "A Helicopter Versus Submarine Search Game," Operations Research, INFORMS, vol. 16(3), pages 509-517, June.
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    Cited by:

    1. Cong-Xu Zhu, 2010. "Generalized Projective Synchronization And Parameters Estimation Of Two New Hyperchaotic Systems With Fully Uncertain Parameters," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 249-259.
    2. Morin, Michael & Abi-Zeid, Irène & Quimper, Claude-Guy, 2023. "Ant colony optimization for path planning in search and rescue operations," European Journal of Operational Research, Elsevier, vol. 305(1), pages 53-63.

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