Skip to main content
Log in

Optimal discrete search with technological choice

  • Published:
Mathematical Methods of Operations Research Aims and scope Submit manuscript

A Correction to this article was published on 31 August 2021

This article has been updated

Abstract

Consider a search problem in which a stationary object is in one of \(L \epsilon \mathcal {N}\) locations. Each location can be searched using one of \(T \epsilon \mathcal {N}\) technologies, and each location-technology pair has a known associated cost and overlook probability. These quantities may depend on the number of times that the technology is applied to the location. This paper finds a search policy that maximizes the probability of finding the object given a constraint on the available budget. It also finds the policy that maximizes the probability of correctly stating at the end of a search where the object is. Additionally it exhibits another policy that minimizes the expected cost required to find the object and the optimal policy for stopping.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Change history

References

  • Agmon N, Kraus S, Kaminka G, Sadov V (2009) Adversarial uncertainty in multi-robot patrol. In: IJCAI’09 proceedings of the 21st international joint conference on artificial intelligence. pp 1811–1817

  • Alpern S, Fokkink R, Gasieniec L, Lindelauf R, Subrahmanian V (eds) (2013) Search theory: a game theoretic perspective. Springer, Heidelberg

    Google Scholar 

  • Babichenko Y, Peres Y, Peretz R, Sousi P, Winkler P (2014) Hunter, Cauchy rabbit and optimal Kakeya sets. Trans Am Math Soc 366(10):5567–5586

    Article  MATH  MathSciNet  Google Scholar 

  • Bellman R (1957) Dynamic programming. Princeton University Press, Princeton

    MATH  Google Scholar 

  • Benkoski S, Monticino M, Weisinger J (1991) A survey of the search theory literature. Nav Res Log 38(4):469–494

    Article  MATH  Google Scholar 

  • Boyd S, Vandenberghe L (2004) Convex optimization. Cambridge University Press, Cambridge

    Book  MATH  Google Scholar 

  • Brown S (1980) Optimal search for a moving target in discrete time and space. Oper Res 28:1275–1289

    Article  MATH  MathSciNet  Google Scholar 

  • DeGroot M (1970) Optimal statistical decisions. McGraw-Hill, New York

    MATH  Google Scholar 

  • DeGroot M (1986) Probability and statistics, 2nd edn. Addison-Wesley, Reading

    Google Scholar 

  • DeGroot M (2004) Optimal statistical decisions. Wiley, Hoboken (reprinted)

  • Dumitriu I, Tetali P, Winkler P (2003) On playing golf with two balls. SIAM J Discrete Math 16(4):604–615

    Article  MATH  MathSciNet  Google Scholar 

  • Gal S (1980) Search games. Academic Press, New York

    MATH  Google Scholar 

  • Gal S, Alpern S (2003) The theory of search and rendezvous. Kluwer Acadmic Publishers, Boston

    MATH  Google Scholar 

  • Gittins J (1979) Bandit processes and dynamic allocation indices (with discussion). J R Stat Soc Ser B 41:148–177

    MATH  MathSciNet  Google Scholar 

  • Gittins J, Glazebrook K, Weber R (2011) Multi-armed bandit allocation indices. Wiley, Chichester

    Book  MATH  Google Scholar 

  • Kadane J (1968) Discrete search and the Neyman–Pearson lemma. J Math Anal Appl 22:156–171

    Article  MATH  MathSciNet  Google Scholar 

  • Kadane J (1971) Optimal whereabouts search. Oper Res 19:894–904

    Article  MATH  MathSciNet  Google Scholar 

  • Koopman B (1956a) The theory of search, part I, kinematic bases. Oper Res 4:324–346

    Article  MathSciNet  Google Scholar 

  • Koopman B (1956b) The theory of search, part II, target detection. Oper Res 4:503–531

    Article  MathSciNet  Google Scholar 

  • Koopman B (1957) The theory of search, part III, the optimum distribution of search effort. Oper Res 5:613–626

    Article  MathSciNet  Google Scholar 

  • Kress M, Lin K, Szechtman R (2008) Optimal discrete search with imperfect specificity. Math Methods Oper Res 68(3):539–549

    Article  MATH  MathSciNet  Google Scholar 

  • Kriheli B, Levner E (2013) Search and detection of failed components in repairable complex systems under imperfect inspections. In: Batyrshin I, Mendoza M (eds) Advances in computational intelligence, vol 7630. Lecture notes in computer science, pp 399–410

  • Lehmann E (1959) Testing statistical hypotheses. Wiley, New York

    MATH  Google Scholar 

  • Mela D (1961) Information theory and search theory as special cases of decision theory. Oper Res 9:907–909

    Article  MATH  Google Scholar 

  • Nakai T (1995) Dynamical and game-theoretial approaches to an optimal patrol problem. J Inf Optim Sci 16(3):491–500

    MATH  MathSciNet  Google Scholar 

  • Qingxin Z, Oommen J (1997) On the optimal search problem: the case when the target distribution is unknown. In: Proceedings of the XVII international conference of the Chilean Computer Science Society. pp 268–277

  • Song NO, Teneketzis D (2004) Discrete search with multiple sensors. Math Methods Oper Res 60(1):1–13

    Article  MATH  MathSciNet  Google Scholar 

  • Stone L (1975) Theory of optimal search. Academic Press, New York

    MATH  Google Scholar 

  • Stone L, Streit R, Corwin T, Bell K (2014) Bayesian mutiple target tracking. Artech House, Boston

    Google Scholar 

  • Tognetti K (1968) An optimal strategy for whereabouts search. Oper Res 16:209–211

    Article  Google Scholar 

Download references

Acknowledgments

The author thanks Caroline Mitchell of the Allegheny Mountain Rescue Group for bringing this problem to his attention, and Charles Twardy and two referees for helpful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joseph B. Kadane.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kadane, J.B. Optimal discrete search with technological choice. Math Meth Oper Res 81, 317–336 (2015). https://doi.org/10.1007/s00186-015-0499-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00186-015-0499-8

Keywords