| Author(s): |
Mark Schwabacher; A Gelsey; |
| Title: |
Intelligent Gradient-Based Search of Incompletely Defined Design Spaces |
| Published: |
January 01, 1997 |
| Abstract: |
Gradient-based numerical optimization of complex engineering designs o ers the promise of rapidly producing better designs. However, such methods generally assume that the objective function and constraint functions are continuous, smooth, and de- ned everywhere. Unfortunately, realistic simulators tend to violate these assumptions. We present a rule-based technique for intelligently computing gradients in the presence of such pathologies in the simulators, and show how this gradient computation method can be used as part of a gradient-based numerical optimization system. We tested the resulting system in the domain of conceptual design of supersonic transport aircraft, and found that using rule-based gradients can decrease the cost of design space search by one or more orders of magnitude |
| Citation: |
Artificial Intelligence in Engineering |
| Volume: |
11:3 |
| Keywords: |
gradients;Optimization;rule-based systems;sequential quadratic programming |
| Research Areas: |
Manufacturing |
| PDF version: |
 Click here to retrieve PDF version of paper (242KB) |
