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Multidisciplinary Design Optimization

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Analytic Methods for Design Practice
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References

  • ANSYS User’s Manual Version 8.1 (2004) ANSYS Inc., Canonsburg, PA

    Google Scholar 

  • Balling RJ, Sobieszczanski-Sobieski J (1996) Optimization of Coupled Systems: A Critical Overview of Approach. AIAA Journal 34(1):6–17

    MATH  Google Scholar 

  • Barthelemy JF, Sobieszczanski-Sobieski J (1983) Optimum Sensitivity Derivatives of Objective Function in Nonlinear Programming. AIAA Journal 21:913–915

    MATH  MathSciNet  Google Scholar 

  • Braun RD (1996) Collaborative Optimization: An Architecture for Large-scale Distributed Design. Ph.D. Dissertation, Stanford University

    Google Scholar 

  • Cramer EJ, Dennis JE Jr., Frank PD, Lewis RM, Shubin GR (1993) Problem Formulation for Multidisciplinary Optimization. Center for Research on Parallel Computation, Rice Univ. Report CRPC-TR93334

    Google Scholar 

  • Goldberg DE (1989) Genetic Algorithm in Search, Optimization and Machine Learning. Addison-Wesley, New York

    Google Scholar 

  • Hajela P, Bloebaum CL, Sobieszczanski-Sobieski J (1990) Application of Global Sensitivity Equations in Multidisciplinary Aircraft Synthesis. Journal of Aircraft 27(12):1002–1010

    Google Scholar 

  • iSIGHT User’s Guide Version 7.1 (2004) Engineous Software Inc., Cary, NC

    Google Scholar 

  • ModelCenter User’s Manual Version 8.1 (2004) Phoenix-Int. Inc., Blacksburg, VA

    Google Scholar 

  • Optimus User’s Manual Version 4.0 (2003) LMS Int., Leuven, Belgium

    Google Scholar 

  • Pham DT, Karaboga D (2000) Intelligent Optimization Techniques. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Renaud JE, Gabriele GA (1994) Approximation in Nonhierarchic System Optimization. AIAA Journal 32(1):198–205

    MATH  Google Scholar 

  • Sellar RS, Renaud JE, Batille SM (1994) Optimization of Mixed Discrete/Continuous Design Variables System Using Neural Networks. 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Panama City, FL

    Google Scholar 

  • Shin MK, Park GJ (2005) Multidisciplinary Design Optimization Based on Independent Subspaces. International Journal for Numerical Methods in Engineering 64:599–617

    Article  MATH  Google Scholar 

  • Sobieski IP, Kroo I (1996) Collaborative Optimization Applied to an Aircraft Design Problem. Proceedings of AIAA Aerospace Sciences Meeting, AIAA-96-0715

    Google Scholar 

  • Sobieszczanski-Sobieski J (1982) A Linear Decomposition Method for Large Optimization Problems-Blueprint for Development. NASA TM 83248

    Google Scholar 

  • Sobieszczanski-Sobieski J (1988) Optimization by Decomposition: A Step from Hierarchic to Nonhierarchic Systems. Recent Advances in Multidisciplinary Analysis and Optimization. NASA TM 101494

    Google Scholar 

  • Sobieszczanski-Sobieski J (1990a) On the Sensitivity of Complex, Internally Coupled Systems. AIAA Journal 28(1):153–160

    Article  Google Scholar 

  • Sobieszczanski-Sobieski J (1990b) Sensitivity Analysis and Multidisciplinary Design Optimization for Aircraft Design: Recent Advances and Results. Journal of Aircraft 27(12):993–1001

    Article  Google Scholar 

  • Sobieszczanski-Sobieski J, Agte J, Sandusky R Jr. (1998) Bilevel Integrated System Synthesis. Proceedings of AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA-98-4916

    Google Scholar 

  • Sobieszczanski-Sobieski J, Barthelemy JF, Riley KM (1982) Sensitivity of Optimum Solutions to Problem Parameters. AIAA Journal 20(9):1291–1299

    MATH  MathSciNet  Google Scholar 

  • Sobieszczanski-Sobieski J, Haftka RT (1996) Multidisciplinary Aerospace Design Optimization: Survey of Recent Developments. AIAA Paper 96-0711

    Google Scholar 

  • Team Midas (1995) Multidisciplinary Integrated Design Assistant for Spacecraft (MIDAS). Jet Propulsion Lab., Pasadena, CA

    Google Scholar 

  • Townsend JC, Weston RP, Eidson TM (1993) A Programming Environment for Distributed Complex Computing: An Overview of the Framework for Interdisciplinary Design Optimization (FIDO) Project. NASA TM 109058

    Google Scholar 

  • Vanderplaats GN (1984) Numerical Optimization Techniques for Engineering Design. McGraw-Hill, New York

    MATH  Google Scholar 

  • VisualDOC User’s Manual Version 4.0 (2004) Vanderplaats Research & Development, Colorado Springs, CO

    Google Scholar 

Download references

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© 2007 Springer-Verlag London Limited

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(2007). Multidisciplinary Design Optimization. In: Analytic Methods for Design Practice. Springer, London. https://doi.org/10.1007/978-1-84628-473-1_10

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  • DOI: https://doi.org/10.1007/978-1-84628-473-1_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-472-4

  • Online ISBN: 978-1-84628-473-1

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