A Classical Search Game in Discrete Locations

Author:

Clarkson Jake1ORCID,Lin Kyle Y.2ORCID,Glazebrook Kevin D.3ORCID

Affiliation:

1. STOR-i Centre for Doctoral Training, Lancaster University, Lancaster LA1 4YR, United Kingdom;

2. Operations Research Department, Naval Postgraduate School, Monterey, California 93943;

3. Department of Management Science, Lancaster University, Lancaster LA1 4YX, United Kingdom

Abstract

Consider a two-person zero-sum search game between a hider and a searcher. The hider hides among n discrete locations, and the searcher successively visits individual locations until finding the hider. Known to both players, a search at location i takes ti time units and detects the hider—if hidden there—independently with probability [Formula: see text] for [Formula: see text]. The hider aims to maximize the expected time until detection, whereas the searcher aims to minimize it. We prove the existence of an optimal strategy for each player. In particular, any optimal mixed hiding strategy hides in each location with a nonzero probability, and there exists an optimal mixed search strategy that can be constructed with up to n simple search sequences. Funding: This work was supported by the Engineering and Physical Sciences Research Council [Grant EP/L015692/1] STOR-i Centre for Doctoral Training.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications,General Mathematics

Reference31 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Overcoming probabilistic faults in disoriented linear search;Theoretical Computer Science;2024-10

2. Computing Optimal Strategies for a Search Game in Discrete Locations;INFORMS Journal on Computing;2024-08-09

3. Optimal pure strategies for a discrete search game;European Journal of Operational Research;2024-03

4. Hide-and-Seek Game with Capacitated Locations and Imperfect Detection;Decision Analysis;2023-10-25

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