Optimal multi-objective low-thrust spacecraft trajectories

V. Coverstone-Carroll, J. W. Hartmann, W. J. Mason

Research output: Contribution to journalArticle

114 Scopus citations

Abstract

Genetic algorithms have gained popularity as effective search procedures for obtaining solutions to traditionally difficult space mission optimization problems. In this paper, a hybrid optimization method is described that integrates a multi-objective genetic algorithm with a calculus-of-variations-based low-thrust trajectory optimizer. Fronts of Pareto optimal trajectories are generated and novel trajectories identified for both Earth-Mars and Earth-Mercury missions.

Original languageEnglish (US)
Pages (from-to)387-402
Number of pages16
JournalComputer Methods in Applied Mechanics and Engineering
Volume186
Issue number2-4
DOIs
StatePublished - Jun 9 2000

    Fingerprint

Keywords

  • Low-thrust trajectories
  • Multi-objective space mission design
  • Optimal spacecraft trajectories

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • Physics and Astronomy(all)
  • Computer Science Applications

Cite this