IAC-17.C1.2.2: Differential evolution/particle swarm optimizer for constrained slew maneuvers

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

Abstract

This work examines a strategy for combining two heuristic methods, Differential Evolution (DE) and Particle Swarm Optimization (PSO) to better address the problem of stagnation when solving time-optimal slew-maneuver problems with path constraints. Several approaches are considered, including the use of only PSO or DE, and use of PSO with DE applied to some iterations. Applying a newer form of DE, in which random fractions of the vector-difference components are employed, stagnation is not evident, but the computational time is greater. The combined PSO/DE method handles the stagnation very well, with a 40% reduction in computation time compared with just DE.

Original languageEnglish (US)
Title of host publication68th International Astronautical Congress, IAC 2017
Subtitle of host publicationUnlocking Imagination, Fostering Innovation and Strengthening Security
PublisherInternational Astronautical Federation, IAF
Pages6873-6887
Number of pages15
ISBN (Print)9781510855373
StatePublished - Jan 1 2017
Event68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017 - Adelaide, Australia
Duration: Sep 25 2017Sep 29 2017

Publication series

NameProceedings of the International Astronautical Congress, IAC
Volume10
ISSN (Print)0074-1795

Other

Other68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017
Country/TerritoryAustralia
CityAdelaide
Period9/25/179/29/17

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Space and Planetary Science

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