Optimal earth orbiting satellite constellations via a pareto genetic algorithm

William J. Mason, Victoria Lynn Coverstone, John W. Hartmann

Research output: Contribution to conferencePaper

Abstract

A Pareto Genetic Algorithm is applied to the design of satellite constellations. The Pareto Genetic Algorithm is a multi-objective optimizer that generates groups, or "families", of optimal solutions. The technique developed in this paper combines the Pareto Genetic Algorithm with Satellite Tool Kit, a commercially available software package that performs satellite performance analyses, to produce a new powerful tool for designing optimal satellite constellations. Several constellations for continuous global coverage are presented.

Original languageEnglish (US)
Pages169-177
Number of pages9
StatePublished - Jan 1 1998
EventAstrodynamics Specialist Conference and Exhibit, AIAA/AAS 1998 - Boston, United States
Duration: Aug 10 1998Aug 12 1998

Other

OtherAstrodynamics Specialist Conference and Exhibit, AIAA/AAS 1998
CountryUnited States
CityBoston
Period8/10/988/12/98

ASJC Scopus subject areas

  • Astronomy and Astrophysics

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  • Cite this

    Mason, W. J., Coverstone, V. L., & Hartmann, J. W. (1998). Optimal earth orbiting satellite constellations via a pareto genetic algorithm. 169-177. Paper presented at Astrodynamics Specialist Conference and Exhibit, AIAA/AAS 1998, Boston, United States.