Optimal Allocation of Tactical Missiles between Valued Targets and Defense Targets

Abstract

Various combat duels between an attacker, who owns a stockpile of long range precision-guided missiles, and a defender are addressed. The defender must defend a valued target, or several selected targets (called primary targets) by a group of defending targets (called secondary targets, and are usually understood to be surface-to-air missile batteries). The problem of the attacker is to allocate his missiles between the primary and the secondary targets so as to optimize various measures of effectiveness. The models are divided into two different categories: (a) Models in which the attacker must find optimal sequencing of missiles which are either anti-primary or anti- secondary missiles, (b) Models in which the attacker must find optimal sequencing of missiles which are either real (anti-primary) missiles or decoys. Two mechanisms by which decoys may enhance effectiveness, namely, exhaustion and saturation of the defense, are quantitatively explored. Various cases are examined in the thesis, which makes a heavy use of stochastic dynamic programming and sequential games techniques. Some numerical examples are also given.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA110876

Entities

People

  • Erez E. Sverdlov

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Antisubmarine Warfare
  • Attrition
  • Ballistic Missiles
  • Computational Science
  • Defense Systems
  • Dynamic Programming
  • Game Theory
  • Guided Missiles
  • Mathematical Models
  • Mathematics
  • Metacentric Height
  • Navy
  • Operations Research
  • Sequential Games
  • Warfare

Fields of Study

  • Mathematics

Readers

  • Missile Defense Systems.
  • Operations Research