A Heuristic for Discrete Search Problems with Positive Switch Costs

Abstract

A searcher is looking for a stationary target which is not attempting to avoid detection. The target is in one location of a finite set, I, of locations (cells). An object is hidden in one of n cells according to a known probability distribution Pp...Pn. A search policy S is a sequence of cells to be visited and searched in an attempt to find the target. The probability of overlooking the target if we search cell i and if the target is in cell j is a(l). The cost of searching cell i is Cj. The cost of moving, or switching, from cell j to cell i is m(u). An optimal policy, s(*), is one for which the expected cost of finding the target is a minimum. When all m(u) = 0 the problem has a well known solution. The problem with positive m(u) is NP-hard and there is not an easy solution. We provide a heuristic to construct a search policy, s', which is good, but is not guaranteed to be optimal. The heuristic is an extension of the optimal solution for the problem with zero switching costs.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA251115

Entities

People

  • Stephen R. Riese

Organizations

  • Kansas State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computational Complexity
  • Computational Science
  • Computations
  • Computer Programs
  • Computers
  • Detection
  • Experimental Design
  • Mathematical Analysis
  • Mathematics
  • Moving Targets
  • Nuclear Powered Submarines
  • Operations Research
  • Probability
  • Search Theory
  • Targets

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Mathematical Modeling and Probability Theory.
  • Sensor Fusion and Tracking Systems.