Niching genetic algorithms-based characterization of geocentric orbits in the 3D elliptic restricted three-body problem

Pini Gurfil, N. Jeremy Kasdin

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

This paper investigates the application of niching genetic algorithms to the characterization of families of geocentric orbits in the Sun-Earth spatial elliptic restricted three-body problem (ER3BP). The niching method used is deterministic crowding, which renders global optimization while permitting for several optimal and sub-optimal solutions to co-exist. This novel approach yields diverse probing of the state-space of the ER3BP. From the practical standpoint, the orbits found remain within a bounded distance from Earth, thus allowing high data-rate communication while ensuring safe operational environment far from thermal perturbations and visual occultations as well as Earth's magnetic and radiation.

Original languageEnglish (US)
Pages (from-to)5683-5706
Number of pages24
JournalComputer Methods in Applied Mechanics and Engineering
Volume191
Issue number49-50
DOIs
StatePublished - Dec 6 2002

All Science Journal Classification (ASJC) codes

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

Keywords

  • Genetic algorithms
  • Niching
  • Orbital mechanics
  • Three-body problem
  • Trajectory optimization

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