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Walking the Filament of Feasibility: Global Optimization of Highly-Constrained, Multi-Modal Interplanetary Trajectories Using a Novel Stochastic Search TechniqueInterplanetary trajectory optimization problems are highly complex and are characterized by a large number of decision variables and equality and inequality constraints as well as many locally optimal solutions. Stochastic global search techniques, coupled with a large-scale NLP solver, have been shown to solve such problems but are inadequately robust when the problem constraints become very complex. In this work, we present a novel search algorithm that takes advantage of the fact that equality constraints effectively collapse the solution space to lower dimensionality. This new approach walks the filament'' of feasibility to efficiently find the global optimal solution.
Document ID
20170008011
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Englander, Arnold C.
(Englander & Associates, LLC Concord, NH, United States)
Englander, Jacob A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 28, 2017
Publication Date
August 23, 2017
Subject Category
Astrodynamics
Report/Patent Number
GSFC-E-DAA-TN45144-1
Meeting Information
Meeting: 2017 AIAA/AAS Astrodynamics Specialist Meeting
Location: Stevenson, WA
Country: United States
Start Date: August 20, 2017
End Date: August 24, 2017
Sponsors: NASA Goddard Space Flight Center, American Astronautical Society
Distribution Limits
Public
Copyright
Public Use Permitted.
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