Combat Simulation Trajectory Management

Abstract

The goal was to assess the scalability of the multitrajectory simulation technique, which earlier had been tested for scenarios of 40 units or less. More effort was needed to overhaul, verify, and port the eaglet simulation than expected, preventing exploration of the more advanced techniques for trajectory management that were planned. Automated methods for generating scenarios of various sizes were developed. Scenario outcomes were mapped to a Measure of Effectiveness space of Blue Losses vs. Loss Exchange Ratio. For each scenario, a 5 million stochastic mn set was used to establish a reference. For multitrajectory and stochastic techniques, a measure of distance between the MOE plots and the reference was found. The multitrajectory technique showed a superiority ranging from marginal in the 4 division (60 unit) scenario to a factor of 4 better in the larger 8 division (120 unit) case. There were troubling indications of unexplained problems. In a small two division case, the multitrajectory algorithm unexpectedly performed more poorly. More sophisticated algorithms, such as the depth first multitrajectory mode, proved beyond the scope of what was possible.

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Document Details

Document Type
Technical Report
Publication Date
Nov 24, 1998
Accession Number
ADA358021

Entities

People

  • Frederick J. Sullivan
  • John B. Gilmer Jr.

Organizations

  • Wilkes University

Tags

Communities of Interest

  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artillery
  • Artillery Units
  • Cells
  • Classification
  • Combat Simulations
  • Computational Science
  • Computations
  • Computer Science
  • Convergence
  • Demographic Cohorts
  • Mathematics
  • Probability
  • Simulations
  • Students
  • Trajectories

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.

Technology Areas

  • Space