Differential evolution/particle swarm optimizer for constrained slew maneuvers

Research output: Contribution to journalArticle

4 Scopus citations

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)
Pages (from-to)246-259
Number of pages14
JournalActa Astronautica
Volume148
DOIs
StatePublished - Jul 2018

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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