Intelligent Gradient-Based Search of Incompletely Defined Design Spaces
Mark Schwabacher, A Gelsey
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
and Gelsey, A.
Intelligent Gradient-Based Search of Incompletely Defined Design Spaces, Artificial Intelligence in Engineering, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822343
(Accessed June 4, 2023)