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Optimal Stopping in a Discrete Search Problem

Author

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  • Milton C. Chew

    (Rensselaer Polytechnic Institute, Troy, New York)

Abstract

In a search among m locations for an object possibly hidden in one, we are given prior probabilities of location p i , searching costs c i , and overlook probabilities α i . It is known also that an “unsearchable” location contains the object with prior probability p 0 , and, in addition, a penalty cost C is charged if the search is terminated unsuccessfully. Although an optimal search strategy for the problem is known, the best stopping rule is not. Under a certain constraint on C , independent of the prior probabilities p i , the optimal stopping rule is shown to be determined by the optimal m -stage look-ahead strategy.

Suggested Citation

  • Milton C. Chew, 1973. "Optimal Stopping in a Discrete Search Problem," Operations Research, INFORMS, vol. 21(3), pages 741-747, June.
    • Handle: RePEc:inm:oropre:v:21:y:1973:i:3:p:741-747
    DOI: 10.1287/opre.21.3.741
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    Cited by:

    1. Jake Clarkson & Kevin D. Glazebrook & Kyle Y. Lin, 2020. "Fast or Slow: Search in Discrete Locations with Two Search Modes," Operations Research, INFORMS, vol. 68(2), pages 552-571, March.
    2. Moshe Kress & Kyle Lin & Roberto Szechtman, 2008. "Optimal discrete search with imperfect specificity," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 68(3), pages 539-549, December.
    3. Stanley J. Benkoski & Michael G. Monticino & James R. Weisinger, 1991. "A survey of the search theory literature," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(4), pages 469-494, August.

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