Optimal design as a real time AI problem

  • S. R. Bradley
  • A. M. Agogino
V Applied Modelling And Optimization V.2 Computer Aided Modelling And Design
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 180)

Abstract

We introduce a methodology for solving optimal design problems within an Intelligent Real Time Problem Solving (IRTPS) framework. Information value theory is used to estimate the value of information gathering actions that promise expectations of an improved design. This value may then be compared with the expense of the actions in terms of increased design process cost, such as the designer’s time or computational costs, to arrive at an appropriate problem solving strategy. An optimal parametric design example is presented to clarify the theory.

Keywords

Inequality Constraint Uncertain Parameter Perfect Information Optimal Design Problem Resource Allocation Decision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Agogino, A. and Almgren, A., 1987, “Techniques for Integrating Qualitative Reasoning and Symbolic Computation in Engineering Optimization,” Engineering Optimization, Vol. 12, No. 2, pp. 117–135.CrossRefGoogle Scholar
  2. Bradley, S., and Agogino, A., 1991a, “Intelligent Real Time Design: Application to Prototype Selection,” to appear in Proceedings of the First International Conference on Artificial Intelligence in Design, Edinburgh, June 1991, pp. 815–838.Google Scholar
  3. Bradley, S., and Agogino, A., 1991b, “An Intelligent Real Time Design Methodology for Catalog Selection,” to appear in Proceedings of the 1991 ASME Design Theory and Methods Conference, Miami, FL, March 1991.Google Scholar
  4. Cagan, J. and A.M. Agogino, “Innovative Design of Mechanical Structures from First Principles,” Al in Engineering, Design, Analysis, and Manufacturing, Vol. 1 (3), 1987, pp. 169–189.Google Scholar
  5. Erman, L.D. (Ed.), 1990, “Intelligent Real-Time Problem Solving (IRTPS) Workshop,” Report TTR-ISE-90-101, Cimflex Teknowledge Corp. (1810 Embarcadero Rd., P.O. Box 10119, Palo Alto, CA 94303), p. 7.Google Scholar
  6. Heckerman, D., Horvitz, E., and Middleton, B., 1991, “An Approximate Nonmyopic Computation for Value of Information,” Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, Los Angeles, CA, Morgan Kaufmann, pp. 135–141.Google Scholar
  7. Howard, R., 1966, “Information Value Theory,” IEEE Transactions on Systems Science and Cybernetics, Vol. SSC-2, No. 1.Google Scholar
  8. Jain, P., and Agogino, A.,“Theory of Design: An Optimization Perspective,” Journal of Mechanism and Machine Theory, Vol. 25, No. 3, pp. 287–303.Google Scholar
  9. Luenberger, D. G., 1984, Linear and Nonlinear Programming, Addison-Wesley, Reading, MA.MATHGoogle Scholar
  10. Neghabat, F., and Stark, R., 1972, “A Coffer Dam Design Optimization,” Math. Prog., 3, pp. 263–275.MATHCrossRefMathSciNetGoogle Scholar
  11. Papalambros, P. Y., and Wilde, D. J., 1988, Principles of Optimal Design, Cambridge University Press, N.Y.MATHGoogle Scholar
  12. Russell, S., and Wefald, E., 1989, “On Optimal Game-Tree Search using Rational Metareasoning,” Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, Detroit, MI, Morgan Kaufmann, pp. 334–340.Google Scholar
  13. Siddall, J. N., 1982, Optimal Engineering Design: Principles and Applications, Marcel Dekker, N.Y.Google Scholar
  14. Vanderplaats, G., 1984, Numerical Optimization Techniques for Engineering Design: with Applications, McGraw-Hill, N.Y.MATHGoogle Scholar
  15. Wilde, D. J., 1978, Globally Optimal Design, John Wiley and Sons, 1978.Google Scholar

Copyright information

© International Federation for Information Processing 1992

Authors and Affiliations

  • S. R. Bradley
    • 1
  • A. M. Agogino
    • 1
  1. 1.Department of Mechanical EngineeringUniversity of California at BerkeleyUSA

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