Generation of Flight Paths Using Hierarchical Planning.

Abstract

This thesis examines the use of an artificial intelligence technique, hierarchical planning, to solve the problem of generating an aircraft route and finding a path through various hostile environments. A route or path, is evaluated by the number and type of threats the aircraft encounters on the route and the route length. An algorithm using hierarchical planning is presented and tested against several hostile environments. Specifically, the algorithms will divide the problem space or grid, into smaller spaces or boxes. These boxes are then assigned values based upon the input hostile environment. Block paths are then constructed and evaluated based on the values in the boxes. An exhaustive search is performed on the two best block paths to find a flight path for the aircraft. Test results are compared to previous results obtained using heuristic search and indicate an improvement in solution quality. Although specific plans are incorporated into the algorithm to obtain test results, many other plans within the realm of hierarchical planning certainly exist and could be used to solve this problem.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA156905

Entities

People

  • K. B. Kline

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Construction
  • Detection
  • Explosions
  • Flight Paths
  • Language
  • Plastic Explosives
  • Programming Languages
  • Random Number Generators
  • United States
  • Universities

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Operations Research
  • Systems Analysis and Design

Technology Areas

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