The objective of this paper is to demonstrate an innovative and practical technique in which multidisciplinary optimization can be carried out while there exist points in the design space for which a response cannot be evaluated. It will also be demonstrated how design of experiment and response surface approximations are used to eliminate other complications associated with optimization of large-scaled designs. A multidisciplinary highly coupled air-to-air sparrow like missile design problem will be introduced to demonstrate the practical side of design optimization. The intention here is to provide practical engineering recommendations to others attempting to optimize industrial type design problems.

1.
Cramer
,
Dennis
,
Frank
,
Lewis
, and
Shubin
, 1994, “Problem Formulation for Multidisciplinary Optimization,” Siam Journal on Optimization, 4(1994), pp. 754–776.
2.
Alexandrov Natalia M., and Kodiyalam, Srinivas, 1998, “Initial Results of an MDO Method Evaluation Study,” Proceedings of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA, St. Louis, Missouri, September 2–4, 1998, Paper No. AIAA 98-4884.
3.
Braun, Robert D., 1996, “Collaborative Optimization: An Architecture for Large-scale Distributed Design,” Ph.D. thesis, Stanford University.
4.
Alexandrov, N. M., and Lewis, R. M., 1999, “Comparative Properties of Collaborative Optimization and Other Approaches to MDO,” Proceedings of the First ASMO UK/ISSMO Conference on Engineering Design Optimization.
5.
Kodiyalam, Srinivas, 1998, “Evaluation of Methods for Multidisciplinary Design Optimization (MDO), Phase I,” NASA/CR-1998-208716.
6.
Ahlqvist, M. Alexandra, 2001, “Dependency-Tracking Object-Oriented Multidisciplinary Design Optimization (MDO) Formulation on a Large-Scaled System,” Ph.D. thesis, University of Central Florida.
7.
Sobieszczanski-Sobieski, Jaroslaw, and Haftka, Raphael T., 1996, “Multidisciplinary Aerospace Design Optimization: Survey of Recent Developments,” 34th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA Paper No. 96-0711, January 15–18, 1996.
8.
Sobieszczanski-Sobieski, Jaroslaw, Agte, Jeremy S., and Sandusky Jr., Robert R., 1998, “Bi-Level Integrated System Synthesis (BLISS),” Proceedings, 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA, St. Louis, Missouri, September 1998, AIAA Paper No. 98-4916.
9.
Sobieszczanski-Sobieski, Jaroslaw, and Kodiyalam, Srinivas, 1999, “BLISS/S: A New method for two-level structural optimization,” Presented at the 40th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, St. Louis, MO April 12–15, 1999. AIAA Paper 99-1345.
10.
iSIGHT Introduction to Application Development, 1999, “Training Guide,” Engineous Software Inc. Nov. 19.
11.
Golovidov, Oleg, Kodiyalam, Srinivas, and Marineau, Peter, 1998, “Flexible Implementation of Approximation Concepts in an MDO Framework,” Proceedings of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA, St. Louis, Missouri, September 2–4, 1998, Paper No. 98-4959.
12.
Kodiyalam, Srinivas, Lin, Jian Su, and Wujek, Brett A., 1998, “Design of Experiments Based Surface Models for Design Optimization,” Proceedings of the 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Long Beach, CA, April 20–23, 1998.
13.
Myers, Raymond H., and Montgomery, Douglas C., 1995, “Response Surface Methodology Process and Product Optimization Using Designed Experiments,” John Wiley & Sons, Inc., New York, NY.
14.
Rodrı´guez, J. F., Pe´rez, V. M., Padmanabhan, D., and Renaud, J. E., 2001, “Sequential Approximate Optimization Using Variable Fidelity Response Surface Approximations,” Journal of the International Society for Structural and Multidisciplinary Optimization, Springer-Verlag, Germany.
15.
Vanderplaats, Garret N., 1999, “Numerical Optimization Techniques for Engineering Design,” 3rd Edition, Second Printing, Vanderplaats Research and Development, Inc. Colorado Springs, CO.
16.
Turban, Efraim, 1992, “Expert Systems and Applied Artificial Intelligence,” Macmillan Publishing Company, New York.
17.
Vanderplaats, Garret N., 1999, “Numerical Optimization Techniques for Engineering Design,” 3rd Edition, Second Printing, Vanderplaats Research and Development, Inc. Colorado Springs, CO.
18.
Turban, Efraim, 1992, “Expert Systems and Applied Artificial Intelligence,” Macmillan Publishing Company, New York.
19.
Ma¨kinen, Raino A. E., Periaux, Jaques, and Toivanen, Jari, 1999, “Multidisciplinary Shape Optimization in Aerodynamics and Electromagnetics Using Genetic Algorithms,” International Journal for Numerical Methods in Fluids, 30.
20.
Levine, Ben, Simulated Annealing: a report for EE562, the Metropolis Algorithm. University of Tennessee. Available: http://microsys6.engr.utk.edu/∼levine/EE652/ (accessed on 2/14/00)
21.
Walsh, J. L., Townsend, J. C., Salas, A. O., Samareh, J. A., Mukhopadhyay, V., and Barthelemy, J-F., 2000, “Multidisciplinary High-Fidelity Analysis and Optimization of Aerospace Vehicles, Part I: Formulation,” Proceedings of the 38th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 2000-0418, January 10–13, 2000.
22.
Walsh, J. L., Weston, R. P., Samareh, J. A., Mason, B. H., Green L. L., and Biedron, R. T., 2000, “Multidisciplinary High-Fidelity Analysis and Optimization of Aerospace Vehicles, Part 2: Preliminary Results,” Proceedings of the 38th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 2000-0419, January 10–13, 2000.
23.
Braun, R. D., Moore, A. A., and Kroo, I. M., 1996, “Use of the Collaborative Optimization Architecture for Launch Vehicle Design,” Sixth AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, Washington, AIAA Paper No. 96-4018, September 4–6, 1996.
24.
Patnaik
,
S. N.
,
Hopkins
, and
D. A.
, 2000, “General-purpose Optimization Method for Multidisciplinary Design Applications,” Adv. Eng. Software, 31.
25.
Methods Group, 2000, “Interactive Missile Design Training Manual,” Lockheed Martin Missile and Fire Control, Orlando, FL.
26.
Myers, Raymond H., and Montgomery, Douglas, C., 1995, “Response Surface Methodology Process and Product Optimization Using Designed Experiments,” John Wiley & Sons, Inc., New York, NY.
27.
Sobieszczanski-Sobieski, Jaroslaw, and Haftka, Raphael T., 1996, “Multidisciplinary Aerospace Design Optimization: Survey of Recent Developments,” 34th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA Paper No. 96-0711, January 15–18, 1996.
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