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|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|
|Keywords:||gradients,Optimization,rule-based systems,sequential quadratic programming|
|PDF version:||Click here to retrieve PDF version of paper (248KB)|