BRIK, An Interactive, Goal Programming Model for Nuclear Exchange Problems

Abstract

VRIK, unique nuclear exchange model (NEM), is the first NEM to be both totally interactive and to rely entirely upon preemptive goal programming to drive its allocations. Written in Fortran 77 it exists on the VAX 11-798 using the UNIX operating system. Since it includes as internal allocation subroutine, it is completely transportable. BRIK will allocate weapons to targets in order to meet damage expectancy (DE) goals of the user. The decision variable is a non-integer geometric mean representing the number of weapons allocated to an entire target class, using any of 3 objective functions and up to 13 different allocation rules. The program is useful for a wide range of scenarios including meeting DE goals with the available arsenal or creating an arsenal to meet established goals. The programmed model uses a preemptive linear goal programming algorithm, allowing explicit preferential treatment of target classes, which can be placed into any of 7 priorities. Target values can be input to differentiate target classes within the same priority. BRIK computes single shot probability of survival using DIA's nuclear targeting vulnerability system or from vulnerability expressed as a PSI overpressure number. As currently dimensioned, the program can handle up to 20 target classes, 20 weapon classes, and 20 hedging constraints.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1984
Accession Number
ADA141092

Entities

People

  • R. A. Takacs
  • R. E. Bunnell

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Command And Control
  • Computer Programming
  • Computer Programs
  • Computers
  • Convex Programming
  • Dynamic Pressure
  • Evolutionary Algorithms
  • Explosives
  • Goal Programming
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Operating Systems
  • Operations Research
  • Optimization
  • Plastic Explosives

Readers

  • Computer Science.
  • Graph Algorithms and Convex Optimization.
  • Marksmanship and Weaponry.