Target Prioritization to Optimize Expected Utility for a Random Battle Scenario

Abstract

The U.S. Army Ballistic Research Laboratory has been investigating the application of stochastic techniques to the problem of target value analysis (TVA) (i.e., assigning values to targets as an aid in the target selection process). Stochastic techniques were successfully applied when a friendly fire unit and two or more enemy targets were engaged in a simple battle. Here the simple battle has been extended to a random battle scenario. The problems associated with TVA are again examined from the standpoint of optimizing some utility function. Expected values of the utility functions are derived in terms of the parameters of interest, rate of fire and probability of kill, associated with a random battle. In the case of two enemy targets, an optimal target engagement ordering for all utilities can be obtained. Some special cases of utilities are considered, and the results generalized for an arbitrary target array.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA254992

Entities

People

  • Ann E. Brodeen
  • Douglas H. Frank

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artillery
  • Classification
  • Control Systems
  • Engineering
  • Firing Rate
  • Friendly Fire
  • Markov Processes
  • Mathematics
  • New York
  • Operations Research
  • Probability
  • Security
  • Stochastic Processes
  • Theorems
  • Vulnerability

Readers

  • Mathematical Modeling and Probability Theory.
  • Military History / Militaries and War Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.