01.1 - Aircraft Design and Integrated Systems (Theory, Methods and Tools)
A SINGLE-LOOP BAYESIAN OPTIMIZATION FRAMEWORK FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION UNDER UNCERTAINTY
B. Wang, The University of Sydney, Australia; D. Lee¹, G. Lee¹; ¹Hanyang University, South Korea
This paper explores a single-loop stochastic optimization approach for multidisciplinary design optimization under uncertainty. By employing a surrogate-assisted strategy, the proposed method requires only a single model evaluation per optimization iteration, enabling efficient aerospace system design in scenarios with tight computational budgets.
DOI: 10.71945/icas2026_0524