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

15 Citations (Scopus)

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 publicationIEEE Aerospace Conference Proceedings
Volume2005
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: Mar 5 2005Mar 12 2005

Other

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

Fingerprint

Evolutionary algorithms
Simulated annealing
Computer science
Propulsion
NASA
Large scale systems
Computer aided design
Robotics
Computer systems
Physics
Innovation
Genetic algorithms
Systems analysis
Costs

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Terrile, R. J., Adami, C., Aghazarian, H., Chau, S. N., Dang, V. T., Ferguson, M. I., ... Xu, J. (2005). Evolutionary computation technologies for space systems. In IEEE Aerospace Conference Proceedings (Vol. 2005). [1559733] https://doi.org/10.1109/AERO.2005.1559733

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

IEEE Aerospace Conference Proceedings. Vol. 2005 2005. 1559733.

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

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 IEEE Aerospace Conference Proceedings. vol. 2005, 1559733, 2005 IEEE Aerospace Conference, Big Sky, MT, United States, 3/5/05. https://doi.org/10.1109/AERO.2005.1559733
Terrile RJ, Adami C, Aghazarian H, Chau SN, Dang VT, Ferguson MI et al. Evolutionary computation technologies for space systems. In IEEE Aerospace Conference Proceedings. Vol. 2005. 2005. 1559733 https://doi.org/10.1109/AERO.2005.1559733
Terrile, Richard J. ; Adami, Christoph ; Aghazarian, Hrand ; Chau, Savio N. ; Dang, Van T. ; Ferguson, Michael I. ; Fink, Wolfgang ; Huntsberger, Terrance L. ; Klimeck, Gerhard ; Kordon, Mark A. ; Lee, Seungwon ; Von Allmen, Paul ; Xu, Joseph. / Evolutionary computation technologies for space systems. IEEE Aerospace Conference Proceedings. Vol. 2005 2005.
@inproceedings{c375231b7fd24321acc8b284323ececf,
title = "Evolutionary computation technologies for space systems",
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",
volume = "2005",
booktitle = "IEEE Aerospace Conference Proceedings",

}

TY - GEN

T1 - Evolutionary computation technologies for space systems

AU - Terrile, Richard J.

AU - Adami, Christoph

AU - Aghazarian, Hrand

AU - Chau, Savio N.

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

PY - 2005

Y1 - 2005

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=33751509399&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33751509399&partnerID=8YFLogxK

U2 - 10.1109/AERO.2005.1559733

DO - 10.1109/AERO.2005.1559733

M3 - Conference contribution

SN - 0780388704

SN - 9780780388703

VL - 2005

BT - IEEE Aerospace Conference Proceedings

ER -