A Targeting Model That Minimizes Collateral Damage

Abstract

This paper considers the problem of allocating weapons to achieve targeting objectives while simultaneously minimizing the aggregate damage to surrounding nonmilitary facilities, each of which has an upper limit to the damage it is permitted to incur. This problem is, in general, nonconvex. A model is formulated that assumes only that damage to individual targets or associated nonmilitary facilities does not decrease as the number of allocated weapons increases. An implicit enumeration algorithm, based on that of Lawler and Bell, is described that yields optimal integer solutions. An example is presented.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA019796

Entities

People

  • Jeffrey J. Grotte

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Cartesian Coordinates
  • Classification
  • Collateral Damage
  • Computers
  • Models
  • Numbers
  • Probability
  • Procedures (Computers)
  • Random Variables
  • Real Numbers
  • Security
  • Targeting
  • Test And Evaluation
  • Weapons
  • Weapons Effects

Readers

  • Joint Military Operations and Doctrine.
  • Operations Research
  • Structural Health Monitoring of Composite Structures.