AN ADAPTIVE AND LEARNING APPROACH TO SAMPLING OPTIMIZATION Conference Paper

abstract

• This paper provides a methodology to rapidly and accurately explore the cost function of an optimization problem based on rejection sampling. Initial results show good precision and rapid convergence. This leads to numerous applications where a multi-minima problem must be optimized or solved, such as those seen in control problems, optimal orbit maneuvers, or constellation design. The approach will be shown to be adaptive and to cover mixed integer-real functions.

authors

• Junkins, John
• Mortari, Daniele

published proceedings

• SPACEFLIGHT MECHANICS 2009, VOL 134, PTS I-III

author list (cited authors)

• Henderson, T. A., Mortari, D., Avendano, M., & Junkins, J. L.

complete list of authors

• Henderson, Troy A||Mortari, Daniele||Avendano, Martin||Junkins, John L

publication date

• December 2009

published in

• Spaceflight Mechanics 2005, Vol 120, Pts 1 and 2  Journal

International Standard Book Number (ISBN) 13

• 978-0-87703-554-1

start page

• 1669

end page

• +

volume

• 134