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Evolutionary Computation Technologies for the Automated Design of Space Systems
Washington DC, June 29-July 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2005.242005 NASA/DoD Conference on Evolvable ...
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Richard J. Terrile, California Institute of Technology
Hrand Aghazarian, California Institute of Technology
Michael I. Ferguson, California Institute of Technology
Wolfgang Fink, California Institute of Technology
Terrance L. Huntsberger, California Institute of Technology
Didier Keymeulen, California Institute of Technology
Gerhard Klimeck, California Institute of Technology
Mark A. Kordon, California Institute of Technology
Seungwon Lee, California Institute of Technology
Paul von Allmen, California Institute of Technology
The Evolvable Computation Group, at NASA?s Jet Propulsion Laboratory (JPL), 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 computeraided design and design evaluation can be used for automated innovation and design, and be applied to hardware in the loop such as robotic arms and MEMS micro-gyroscopes. These powerful techniques also serve to reduce redesign costs and schedules.
Citation:
Richard J. Terrile, Hrand Aghazarian, Michael I. Ferguson, Wolfgang Fink, Terrance L. Huntsberger, Didier Keymeulen, Gerhard Klimeck, Mark A. Kordon, Seungwon Lee, Paul von Allmen, "Evolutionary Computation Technologies for the Automated Design of Space Systems," eh, pp.131-138, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05), 2005
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