Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
AA222: MDO
9
Sunday 1st April, 2012 at 19:48
Chapter 1
Introduction
1.1
What is MDO?
Multidisciplinary design optimization (MDO) is the application of numerical optimization techniques to the design of engineering systems that involve multiple disciplines
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
AA222  Intro to MDO
Spring Quarter 2012
Jason E. Hicken Durand 359 email: jehicken@stanford.edu
PROBLEM SET 2
Due Date: April 30th, 2012, 5pm
Question 1
Consider an aircraft with the rectangular wing described in the previous assignment. The drag
coecien
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
AA222  Intro to MDO
Spring Quarter 2012
Jason E. Hicken Durand 359 email: jehicken@stanford.edu
PROBLEM SET 1
Due Date: April 16th, 2012, 5pm
Question 1
Let f (x) = x + x2 , where > 0 is a parameter. For this question you will investigate three
values fo
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
AA222  Intro to MDO
Spring Quarter 2012
Jason E. Hicken Durand 359 email: jehicken@stanford.edu
PROBLEM SET 3
Due Date: May 14th, 2012, 5pm
1. Consider the following optimization problem:
2x3 3x2 x2
1
1
2
minimize
w.r.t. x1 , x2
subject to x2 + x2 2
1
2
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
AA222  Intro to MDO
Spring Quarter 2012
Jason E. Hicken Durand 359 email: jehicken@stanford.edu
PROBLEM SET 4
Due Date: May 30th, 2012, 5pm
1. Consider the unconstrained problem from Homework 2.
(a) Compute the drag gradient at (A, S) = (10, 20) using th
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
6
Introduction
Using optimization in the solution of practical applications we often encounter
one or more of the following challenges:
nondierentiable functions and/or constraints
disconnected and/or nonconvex feasible space
discrete feasible space
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
Multidisciplinary design using collaborative optimization
Sobieski, Ian Patrick
ProQuest Dissertations and Theses; 1998; Dissertations & Theses @ Stanford University
pg. n/a
Reproduced with permission of the copyright owner. Further reproduction prohibite
Introduction to Multidisciplinary Design Optimization
AA 222

Spring 2012
The Promise and Realities of MDO
(MultiDisciplinary Optimization)
Juan J. Alonso
Department of Aeronautics & Astronautics
Stanford University
AA222 Lecture 14
May 13, 2010
Outline
An introduction to MDO: three generations and
counting
Some applications