Generation of Flight Paths Using Heuristic Search.

Abstract

This thesis examines a solution to the problem of developing an effective, computer algorithm to route aircraft through hostile enemy defenses. The problem was proposed to assist in studies of the impact of varied, on-board countermeasures upon pre-planned aircraft routes. The quality of a route can be defined in terms of the cost of interaction between the aircraft and threats encountered along the path, and the length of the path. Current methods of automated routing are either inefficient or produce unsatisfactory results. Given a more general description of the problem, this thesis details a solution for developing routes by using the artificial intelligence technique of heuristic search in an A* algorithm. The algorithm uses heuristics based upon estimates of the degree of threat interactivity and distance from a point to the goal. Due to the nature of the heuristic, the A* algorithm cannot guarantee development of a least-cost path. However, the heuristic may be adjusted to insure reasonably good results in most cases. Test cases confirm improvements in efficiency while maintaining solution quality comparable to previous methods. The flexibility of the algorithm allows applicability to the specific aircraft routing problem and to other route planning applications. Additional keywords: Path finder computer program; Threats builder computer program. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA151949

Entities

People

  • C. S. Lizza

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aeronautical Laboratories
  • Air Force
  • Aircrafts
  • Algorithms
  • Altitude
  • Artificial Intelligence
  • Boundaries
  • Coefficients
  • Computational Complexity
  • Computations
  • Computer Graphics
  • Computers
  • Data Sets
  • Flight Paths
  • Language
  • Trees (Data Structures)
  • Universities

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Geodesy
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Spacecraft Maneuvers