Optimal interplanetary spacecraft trajectories via a Pareto genetic algorithm

John W. Hartmann, Victoria L. Coverstone-Carroll, Steven N. Williams

Research output: Contribution to journalArticle

73 Scopus citations

Abstract

A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories. A multiobjective, nondominated sorting genetic algorithm is developed following existing methodologies. A hybridized scheme is designed integrating the nondominated sorting genetic algorithm with a calculus-of-variations-based trajectory optimization algorithm. 'Families' of Pareto optimal trajectories are generated for the cases of Earth-Mars flyby and rendezvous trajectories. A novel trajectory type generated by the genetic algorithm is expanded to develop a series of versatile, high-performance Earth-Mars rendezvous trajectories.

Original languageEnglish (US)
Pages (from-to)267-282
Number of pages16
JournalJournal of the Astronautical Sciences
Volume46
Issue number3
StatePublished - Jul 1 1998
Externally publishedYes

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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