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  1. Mathematical Methods of Operations Research
  2. Mathematical Methods of Operations Research : Volume 60
  3. Mathematical Methods of Operations Research : Volume 60, Issue 1, September 2004
  4. Discrete search with multiple sensors
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Mathematical Methods of Operations Research : Volume 85
Mathematical Methods of Operations Research : Volume 84
Mathematical Methods of Operations Research : Volume 83
Mathematical Methods of Operations Research : Volume 82
Mathematical Methods of Operations Research : Volume 81
Mathematical Methods of Operations Research : Volume 80
Mathematical Methods of Operations Research : Volume 79
Mathematical Methods of Operations Research : Volume 78
Mathematical Methods of Operations Research : Volume 77
Mathematical Methods of Operations Research : Volume 76
Mathematical Methods of Operations Research : Volume 75
Mathematical Methods of Operations Research : Volume 74
Mathematical Methods of Operations Research : Volume 73
Mathematical Methods of Operations Research : Volume 72
Mathematical Methods of Operations Research : Volume 71
Mathematical Methods of Operations Research : Volume 70
Mathematical Methods of Operations Research : Volume 69
Mathematical Methods of Operations Research : Volume 68
Mathematical Methods of Operations Research : Volume 67
Mathematical Methods of Operations Research : Volume 66
Mathematical Methods of Operations Research : Volume 65
Mathematical Methods of Operations Research : Volume 64
Mathematical Methods of Operations Research : Volume 63
Mathematical Methods of Operations Research : Volume 62
Mathematical Methods of Operations Research : Volume 61
Mathematical Methods of Operations Research : Volume 60
Mathematical Methods of Operations Research : Volume 60, Issue 3, December 2004
Mathematical Methods of Operations Research : Volume 60, Issue 2, October 2004
Mathematical Methods of Operations Research : Volume 60, Issue 1, September 2004
Discrete search with multiple sensors
On regular and parametric data envelopment analysis
Sensitivity analysis via simulation in the presence of discontinuities
On the existence of solutions to systems of vector quasi-optimization problems
A robust trust region method for general constrained optimization
Dual approach for a class of implicit convex optimization problems
Generalized benefit functions and measurement of utility
Multicriteria impulsive control of jump Markov processes
Shortest path to nonpreemptive schedules of unit-time jobs on two identical parallel machines with minimum total completion time
Perishable inventory systems with variable input and demand rates
Book Review : Mathematical Methods of Operations Research , Volume 60 , Issue 1
Book Review : Mathematical Methods of Operations Research , Volume 60 , Issue 1
Mathematical Methods of Operations Research : Volume 59
Mathematical Methods of Operations Research : Volume 58
Mathematical Methods of Operations Research : Volume 57
Mathematical Methods of Operations Research : Volume 56
Mathematical Methods of Operations Research : Volume 55
Mathematical Methods of Operations Research : Volume 54
Mathematical Methods of Operations Research : Volume 53
Mathematical Methods of Operations Research : Volume 52
Mathematical Methods of Operations Research : Volume 51
Mathematical Methods of Operations Research : Volume 50
Mathematical Methods of Operations Research : Volume 49
Mathematical Methods of Operations Research : Volume 48
Mathematical Methods of Operations Research : Volume 47
Mathematical Methods of Operations Research : Volume 46
Mathematical Methods of Operations Research : Volume 45

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Discrete search with multiple sensors

Content Provider Springer Nature Link
Author Song, Nah Oak Teneketzis, Demosthenis
Copyright Year 2004
Abstract A stationary object is hidden in location i, i=1,2,...,K, with probability pi. There are M sensors available and each location can be searched by at most one sensor at each instant of time. Each search of a location takes one unit of time and is conducted independently of previous searches, so that a search of location i finds the object, if it is in that location, with probability αi. After each search of a location a sensor may either continue to search the same location or switch without any delay to another location. We determine optimal search strategies that maximize the total probability of successful search in N units of time, discuss an implementation of an optimal search strategy, and specify conditions under which the solution can be obtained by a forward induction argument. Finally, we discuss the relationship to multi-armed bandits with multiple plays.
Starting Page 1
Ending Page 13
Page Count 13
File Format PDF
ISSN 14322994
Journal Mathematical Methods of Operations Research
Volume Number 60
Issue Number 1
e-ISSN 14325217
Language English
Publisher Springer-Verlag
Publisher Date 2004-01-01
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Search problem Multiple sensors Multi-armed bandits Gittins index Forward induction
Content Type Text
Resource Type Article
Subject Management Science and Operations Research Mathematics Software
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