Evolutionary computation technologies for space systems

Richard J. Terrile, Christoph Adami, Hrand Aghazarian, Savio N. Chau, Van T. Dang, Michael I. Ferguson, Wolfgang Fink, Terrance L. Huntsberger, Gerhard Klimeck, Mark A. Kordon, Seungwon Lee, Paul Von Allmen, Joseph Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

The Evolvable Computation Group,1,2 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.

Original languageEnglish (US)
Title of host publicationProceedings - 2005 IEEE Aerospace Conference
PublisherIEEE Computer Society
Pages4284-4295
Number of pages12
ISBN (Print)0780388704, 9780780388703
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: Mar 5 2005Mar 12 2005

Publication series

NameIEEE Aerospace Conference Proceedings
Volume2005
ISSN (Print)1095-323X

Other

Other2005 IEEE Aerospace Conference
CountryUnited States
CityBig Sky, MT
Period3/5/053/12/05

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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