Evolutionary computation technologies for space systems
Terrile, R.J.
Adami, C.
Aghazarian, H.
Chau, S.N.
Dang, V.T.
Ferguson, M.I.
Fink, W.
Huntsberger, T.L.
Klimeck, G.
Kordon, M.A.
Seungwon Lee
von Allmen, P.
Xu, J.
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA;
This paper appears in: Aerospace Conference, 2005 IEEE
Publication Date: 5-12 March 2005
On page(s): 4284-4295
Location: Big Sky, MT,
ISBN: 0-7803-8870-4
INSPEC Accession Number: 8957651
Digital Object Identifier: 10.1109/AERO.2005.1559733
Current Version Published: 2005-12-19
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The Evolvable Computation Group, at NASA's Jet Propulsion Laboratory, is tasked with demonstrating the utility of computational engineering and computer optimized design for complex space systems. The group is comprised of researchers over a broad range of disciplines including biology, genetics, robotics, physics, computer science and system design, and employs biologically inspired evolutionary computational techniques to design and optimize complex systems. Over the past two years we have developed tools using genetic algorithms, simulated annealing and other optimizers to improve on human design of space systems. We have further demonstrated that the same tools used for computer-aided design and design evaluation can be used for automated innovation and design. These powerful techniques also serve to reduce redesign costs and schedules
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