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A Classical Search Game in Discrete Locations

Authors :
Jake Clarkson
Kyle Y. Lin
Kevin D. Glazebrook
Source :
Mathematics of Operations Research. 48:687-707
Publication Year :
2023
Publisher :
Institute for Operations Research and the Management Sciences (INFORMS), 2023.

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 $t_i$ time units and detects the hider -- if hidden there -- independently with probability $q_i$, for $i=1,\ldots,n$. The hider aims to maximize the expected time until detection, while the searcher aims to minimize it. We prove the existence of an optimal strategy for each player. In particular, the hider's optimal mixed strategy hides in each location with a nonzero probability, and the searcher's optimal mixed strategy can be constructed with up to $n$ simple search sequences. We develop an algorithm to compute an optimal strategy for each player, and compare the optimal hiding strategy with the simple hiding strategy which gives the searcher no location preference at the beginning of the search.<br />Comment: 55 pages, 2 figures

Details

ISSN :
15265471 and 0364765X
Volume :
48
Database :
OpenAIRE
Journal :
Mathematics of Operations Research
Accession number :
edsair.doi.dedup.....04ab8dadfc210c93b3ae6767c504cdb9