Allocation of Forces, Fires, and Effects Using Genetic Algorithms

Abstract

Decision making within the Future Battle Command structure will demand an increasing ability to comprehend and structure information on the battlefield. As the military evolves into a networked force, strain is placed on headquarters and others to collect and utilize information from across the battlefield in a timely and efficient manner. Decision aids and tools on the battlefield, as well as solution methodologies in constructive simulations, must be modified to better show how this information affect decisions.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA484365

Entities

People

  • Christopher G. Pernin
  • Katherine Comanor
  • Lance Menthe
  • Louis R. Moore
  • Tim Andersen

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Command And Control
  • Computational Science
  • Computations
  • Computers
  • Fuzzy Logic
  • Genetic Algorithms
  • Information Science
  • National Security
  • Neural Networks
  • Operations Research
  • Probability
  • Recognition
  • Target Recognition
  • United States
  • War Colleges

Readers

  • Joint Military Operations and Doctrine.
  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Biotechnology