Developing a systematic approach to the use of genetic algorithms for the solution of optimal spacecraft trajectory problems

Bradley J. Wall, Bruce A Conway

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

Abstract

The method of Genetic Algorithms (GA's) is perhaps the best known of several "evolutionary algorithms"; that is, algorithms that attempt to evolve toward the optimal solution. GA's have been used to solve a number of spacecraft trajectory optimization problems however, primarily in an ad hoc way. This work is an initial attempt to categorize tailoring of the GA for various types of problems commonly encountered in spacecraft trajectory optimization.

Original languageEnglish (US)
Title of host publicationAmerican Astronautical Society - Space Flight Mechanics 2007 - Advances in the Astronautical Sciences, Proceedings of the AAS/AIAA Space Flight Mechanics Meeting
Pages929-946
Number of pages18
StatePublished - Dec 1 2007
Event17th Annual Space Flight Mechanics Meeting - Sedona, AZ, United States
Duration: Jan 28 2007Feb 1 2007

Publication series

NameAdvances in the Astronautical Sciences
Volume127 PART 1
ISSN (Print)0065-3438

Other

Other17th Annual Space Flight Mechanics Meeting
CountryUnited States
CitySedona, AZ
Period1/28/072/1/07

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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