Optimization of Low Thrust Spacecraft Trajectories Using a Genetic Algorithm.

Abstract

This thesis concerns the use of genetic algorithms in the optimization of the trajectories of low thrust spacecraft. Genetic algorithms are programming tools which use the principles of biological evolution and adaptation to optimize processes. These algorithms have been found to be very useful in many different engineering disciplines. The goal of this project is to determine their applicability to the generation and optimization of low thrust spacecraft trajectories. This thesis describes the basic operating principles of genetic algorithms and then applies them to two different missions.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA359932

Entities

People

  • Jason C. Eisenreich

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Calculus Of Variations
  • Chromosomes
  • Computer Programming
  • Coordinate Systems
  • Engineering
  • Genetic Algorithms
  • Genetics
  • Orbits
  • Propulsion Systems
  • Rocket Engines
  • Spacecraft
  • Spacecraft Trajectories
  • Trajectories
  • Two Dimensional
  • United States

Fields of Study

  • Physics

Readers

  • Operations Research
  • Software Engineering.
  • Space Exploration and Orbital Mechanics.

Technology Areas

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