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ESD.77

Multidisciplinary System Design Optimization

Graduate · Historical course

Spring 2010

Topics

  • Introduction to multidisciplinary system design optimization
  • Problem formulation
  • Modeling and simulation
  • Problem decomposition
  • Design space exploration
  • Visualization
  • Numerical optimization I
  • Numerical optimization II
  • Sensitivity analysis
  • Simulated annealing
  • Genetic algorithms I
  • Genetic algorithms II
  • Goal programming – isoperformance
  • Multi-objective optimization I
  • Multi-objective optimization II
  • Post-optimality analysis
  • Approximation methods
  • Robust design
  • Design for value
  • MDO at Boeing
  • Design for flexibility
  • Roots and future of MDO
  • Project presentations
  • Project presentations (cont.)
  • Course summary

Readings

  • Due to the fact that multidisciplinary system design optimization is a relatively young field, we know of no single textbook that would entirely capture all the material of this course and be suitable as a classroom text. However, we will use the following recommended textbook to support parts of the course:
    Listed reading
  • Papalambros, Panos Y., and Douglass J. Wilde. Principles of Optimal Design: Modeling and Computation . 2nd ed. Cambridge, UK: Cambridge University Press, 2000. ISBN: 9780521627276.
    Listed reading
  • Vanderplaats, Garret N. Numerical Optimization Techniques for Engineering Design . 3rd ed. Colorado Springs, CO: Vanderplaats Research and Development Inc., 2001. ISBN: 9780944956014.
    Listed reading
  • Steuer, Ralph E. Multiple Criteria Optimization: Theory, Computation and Application . New York, NY: John Wiley and Sons, Inc., 1986. ISBN: 9780471888468.
    Listed reading
  • Goldberg, David E. Genetic Algorithms in Search, Optimization and Machine Learning . Reading, MA: Addison-Wesley, 1989. ISBN: 9780201157673.
    Listed reading
  • Natalia M., Alexandrov, and M. Y., Hussaini, eds. Multidisciplinary Design Optimization: State of the Art. (Proceedings in Applied Mathematics Series; No. 80) . Philadelphia, PA: Society for Industrial & Applied Math, 1997. ISBN: 9780898713596.
    Listed reading
  • Owens, Lawrence J., Alvin J. Walsh, and Michael J. Fogel. Artificial Intelligence Through Simulated Evolution . New York, NY: John Wiley and Sons, Inc., 1966.
    Listed reading
  • Statnikov, Roman B., and Joseph B. Matusov. Multicriteria Optimization and Engineering . New York, NY: Springer-Verlag, 1995. ISBN: 9780412992315.
    Listed reading
Sources