Satellite constellation design optimization via multiple-objective evolutionary computation

Matthew P. Ferringer, David B. Spencer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Multiple-objective evolutionary computation provides the satellite constellation designer with an essential optimization tool due to the discontinuous, temporal, and/or nonlinear characteristics of the metrics that architectures are evaluated against. In this work, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is utilized to generate sets of constellation designs (Pareto-fronts) that show the trade-off for two pairs of conflicting metrics. The first pair replicates a previously published sparse-coverage trade-off to establish a baseline for tool development, while the second characterizes the conflict between temporal (revisit time) and spatial (image quality) resolution. A thorough parameter analysis is performed on the NSGA-II for the constellation design problem so that the utility of the approach may be assessed and general guidelines for use established. The approximated Pareto-fronts generated for each trade-off are discussed and the trends exhibited by the non-dominated designs are revealed.

Original languageEnglish (US)
Title of host publicationAstrodynamics 2005 - Advances in the Astronautical Sciences - Proceedings of the AAS/AIAA Astrodynamics Conference
Pages461-480
Number of pages20
StatePublished - 2006
EventAstrodynamics 2005 - Advances in the Astronautical Sciences - Proceedings of the AAS/AIAA Astrodynamics Conference - South Lake Tahoe, CA, United States
Duration: Aug 7 2005Aug 11 2005

Publication series

NameAdvances in the Astronautical Sciences
Volume123 I
ISSN (Print)0065-3438

Other

OtherAstrodynamics 2005 - Advances in the Astronautical Sciences - Proceedings of the AAS/AIAA Astrodynamics Conference
CountryUnited States
CitySouth Lake Tahoe, CA
Period8/7/058/11/05

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Satellite constellation design optimization via multiple-objective evolutionary computation'. Together they form a unique fingerprint.

  • Cite this

    Ferringer, M. P., & Spencer, D. B. (2006). Satellite constellation design optimization via multiple-objective evolutionary computation. In Astrodynamics 2005 - Advances in the Astronautical Sciences - Proceedings of the AAS/AIAA Astrodynamics Conference (pp. 461-480). (Advances in the Astronautical Sciences; Vol. 123 I).