Design Optimization Under Long-Range Uncertainty
Project status: Proposed
Thrust area: Design Optimization
Research team: Cameron MacKenzie
One of the biggest challenges firms face when designing new products is optimizing high-dimensional, computationally expensive objective functions under long-range uncertainties. Two examples include the wing design of a high-speed aircraft in the aerospace industry (Koch et al., 1999) and the crashworthiness design in the automotive industry (Gu, 2001). The objective of this project is to develop new optimization methods for designing engineered systems involving high-dimensional and long-range uncertainties and expensive simulations.