Supporting Coalition Operations of Target Movements Exploration Through Evolutionary Computation and 3-d Visualisation

Abstract

The paper describes a Genetic Evolution of Movement (GEM) approach for inferring opponents' strategic movements and for displaying such predicted movements in an interactive 3D Visualization Space. The prediction approach generates new movements based on past behaviors and application of inheritance mechanisms. Specifically, the approach applies Genetic Algorithms (GAs) learning techniques to evolve new individuals in the population of movements in order to converge the evolution process toward optimal (most probable) movements.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2002
Accession Number
ADP012331

Entities

People

  • Jerzy Bala
  • Peter Pachowicz
  • Robert A. Witham

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Cognition
  • Computations
  • Genetic Algorithms
  • Ground Moving Target Indicators
  • Hard Copy
  • Intelligence Community
  • Joint Military Activities
  • Moving Target Indicator Radar
  • Moving Targets
  • Target Tracking
  • Targets
  • Technical Information Centers
  • Three Dimensional
  • Visualizations

Readers

  • International Relations and Conflict Resolution
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Space