Optimal interplanetary spacecraft trajectories via a Pareto genetic algorithm

John W. Hartmann, Victoria Coverstone, Steven N. Williams

Research output: Contribution to journalArticle

71 Citations (Scopus)

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

Fingerprint

interplanetary trajectories
Interplanetary spacecraft
interplanetary spacecraft
spacecraft trajectories
genetic algorithms
genetic algorithm
rendezvous trajectories
spacecraft
Genetic algorithms
sorting algorithms
trajectory
Trajectories
trajectories
Earth-Mars trajectories
trajectory optimization
low thrust
Sorting
sorting
calculus of variations
Mars

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

Optimal interplanetary spacecraft trajectories via a Pareto genetic algorithm. / Hartmann, John W.; Coverstone, Victoria; Williams, Steven N.

In: Journal of the Astronautical Sciences, Vol. 46, No. 3, 01.07.1998, p. 267-282.

Research output: Contribution to journalArticle

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