Evolutionary Programming Techniques for Modeling of C2 Processes

Abstract

This report contains a summary of the work done on this effort over the past twelve months. Two projects were performed, one of which investigates the basic ideas of evolutionary programming (EP) techniques, the other is an attempt to apply EP to an air campaign simulation. The first project provided evidence that EP can find the ideal solution in a complex space. It also seemed to show that a faster convergence to a good solution may be obtained by keeping the various parameters involved in EP within certain limits. Although there was insufficient time to complete the second project, it did show that it is possible to use neural networks (NNs) to control a two-dimensional entity in two dimensional space, and that even randomly initialized (untrained) NNs can exhibit interesting behavior.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA398540

Entities

People

  • Steven M. Alexander

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Application Software
  • Artificial Intelligence
  • Command And Control
  • Computer Programming
  • Computer Programs
  • Computers
  • Convergence
  • Information Systems
  • Military Research
  • Neural Networks
  • Optimization
  • Simulations
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Hall-Effect Thruster