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

2 Citations (Scopus)

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
Volume160
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

Other

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

Fingerprint

three body problem
chromosomes
Global optimization
Transcription
Chromosomes
low thrust
chromosome
trajectory
Trajectories
trajectories
optimization
thrust
genetic algorithms
genetic algorithm
Genetic algorithms

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

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 (Vol. 160, pp. 731-750). Univelt Inc..

Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription. / Shah, Vishwa; Beeson, Ryne; Coverstone, Victoria.

Spaceflight Mechanics 2017. ed. / Jon A. Sims; Frederick A. Leve; Jay W. McMahon; Yanping Guo. Vol. 160 Univelt Inc., 2017. p. 731-750.

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

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 JA Sims, FA Leve, JW McMahon & Y Guo (eds), Spaceflight Mechanics 2017. vol. 160, Univelt Inc., pp. 731-750, 27th AAS/AIAA Space Flight Mechanics Meeting, 2017, San Antonio, United States, 2/5/17.
Shah V, Beeson R, Coverstone V. Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription. In Sims JA, Leve FA, McMahon JW, Guo Y, editors, Spaceflight Mechanics 2017. Vol. 160. Univelt Inc. 2017. p. 731-750
Shah, Vishwa ; Beeson, Ryne ; Coverstone, Victoria. / Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription. Spaceflight Mechanics 2017. editor / Jon A. Sims ; Frederick A. Leve ; Jay W. McMahon ; Yanping Guo. Vol. 160 Univelt Inc., 2017. pp. 731-750
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