Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription

Vishwa Shah, Ryne Beeson, Victoria Coverstone

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

3 Scopus citations

Abstract

This paper investigates the use of a variable chromosome transcription to enable construction and global optimization of multi-phase trajectory problems by an automated global optimization framework for multi-body problems. We demonstrate how the variable chromosome transcription operates with NSGA-II, a multi-objective genetic algorithm, to select number of phases and phase types for impulsive and low-thrust missions in three-body transfer problems. For both impulsive and low-thrust transfers, we show how our framework with the variable chromosome transcription naturally converges GA populations to phasespecific groups on multi-objective fronts.

Original languageEnglish (US)
Title of host publicationSpaceflight Mechanics 2017
EditorsJon A. Sims, Frederick A. Leve, Jay W. McMahon, Yanping Guo
PublisherUnivelt Inc.
Pages731-750
Number of pages20
ISBN (Print)9780877036371
StatePublished - Jan 1 2017
Externally publishedYes
Event27th AAS/AIAA Space Flight Mechanics Meeting, 2017 - San Antonio, United States
Duration: Feb 5 2017Feb 9 2017

Publication series

NameAdvances in the Astronautical Sciences
Volume160
ISSN (Print)0065-3438

Other

Other27th AAS/AIAA Space Flight Mechanics Meeting, 2017
CountryUnited States
CitySan Antonio
Period2/5/172/9/17

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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    Shah, V., Beeson, R., & Coverstone, V. (2017). Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription. In J. A. Sims, F. A. Leve, J. W. McMahon, & Y. Guo (Eds.), Spaceflight Mechanics 2017 (pp. 731-750). (Advances in the Astronautical Sciences; Vol. 160). Univelt Inc..