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

doi:10.1109/AERO.2005.1559733

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

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 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 language	English (US)
Title of host publication	Proceedings - 2005 IEEE Aerospace Conference
Publisher	IEEE Computer Society
Pages	4284-4295
Number of pages	12
ISBN (Print)	0780388704, 9780780388703
DOIs	https://doi.org/10.1109/AERO.2005.1559733
State	Published - 2005
Event	2005 IEEE Aerospace Conference - Big Sky, MT, United States Duration: Mar 5 2005 → Mar 12 2005

Publication series

Name	IEEE Aerospace Conference Proceedings
Volume	2005

Other

Other	2005 IEEE Aerospace Conference
Country/Territory	United States
City	Big Sky, MT
Period	3/5/05 → 3/12/05

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

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10.1109/AERO.2005.1559733

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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., Lee, S., Von Allmen, P., & Xu, J. (2005). Evolutionary computation technologies for space systems. In Proceedings - 2005 IEEE Aerospace Conference (pp. 4284-4295). Article 1559733 (IEEE Aerospace Conference Proceedings; Vol. 2005). IEEE Computer Society. https://doi.org/10.1109/AERO.2005.1559733

Terrile, RJ, Adami, C, Aghazarian, H, Chau, SN, Dang, VT, Ferguson, MI, Fink, W, Huntsberger, TL, Klimeck, G, Kordon, MA, Lee, S, Von Allmen, P & Xu, J 2005, Evolutionary computation technologies for space systems. in Proceedings - 2005 IEEE Aerospace Conference., 1559733, IEEE Aerospace Conference Proceedings, vol. 2005, IEEE Computer Society, pp. 4284-4295, 2005 IEEE Aerospace Conference, Big Sky, MT, United States, 3/5/05. https://doi.org/10.1109/AERO.2005.1559733

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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.",

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

year = "2005",

doi = "10.1109/AERO.2005.1559733",

language = "English (US)",

isbn = "0780388704",

series = "IEEE Aerospace Conference Proceedings",

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AU - Dang, Van T.

AU - Ferguson, Michael I.

AU - Fink, Wolfgang

AU - Huntsberger, Terrance L.

AU - Klimeck, Gerhard

AU - Kordon, Mark A.

AU - Lee, Seungwon

AU - Von Allmen, Paul

AU - Xu, Joseph

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AB - 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.

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Evolutionary computation technologies for space systems

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