**Monday Afternoon, October 23**

## MS9

Multidisciplinary Design Optimization: Many Perspectives
(Part I of II, Invited Minisymposium)

Multidisciplinary Design Optimization is a methodology for the design of
complex, coupled engineering systems. MDO comprises such research areas as
design-oriented analysis, mathematical modeling, problem decomposition,
optimization and approximation, and specific disciplines such as aerodynamics and
controls. Although its potential to reduce the life-cycle cost of complex
systems and to improve the design process is recognized by the engineering
community, the methodology has not been implemented widely, due to many
difficulties, such as the integration of various disciplines, the large and
difficult optimization problems, the fidelity of physical models or lack of
satisfying models in the areas of cost and manufacturing. A closer attention of
the applied mathematics community to MDO problems could contribute much to the
development of realistic MDO tools.
The speakers will discuss a spectrum of MDO research areas: cost, optimization
methods, MDO systems with large-scale simulations, structural optimization,
aerodynamic and aero-elastic design, software engineering.

Organizer: Natalia M. Alexandrov

NASA Langley Research Center

**4:30 Mathematics for Cost in MDO: Research Directions**
- Edwin B. Dean,
NASA Langley Research Center

**5:00 Multidisciplinary Optimization in an Environmental Decision Framework**
- John Ambrosiano, North Carolina Supercomputing Center

**5:30 Newton's Method for Aerodynamic and Aero-elastic Analysis and Design**
*David P. Young*, M.B. Bieterman, R.G. Melvin, W.P. Huffman, F.T. Johnson, and C.L. Hilmes, Boeing Computer Services

**6:00 Software Engineering of Parallel Disciplinary and MDO Codes**
*Layne Watson*, S. Burgee, V. Balabanov, A.A. Giunta, B. Grossman, W.H. Mason, and R. Narducci, Virginia Polytechnic Institute and State University; and R.T. Haftka, University of Florida

7/25/95