Publication: X. Yu, Y. Wang, L. Zhu, D. Filev and X. Yao, "Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm," in IEEE Transactions on Cybernetics, early access, May 1, 2023, doi: 10.1109/TCYB.2023.3267454. https://ieeexplore.ieee.org/document/10113157.

SAB-DE is a surrogate-assisted evolutionary algorithm (SAEA) designed for solving expensive constrained optimization problems (ECOPs). It has a bilevel architecture, the lower-level aims to adjust lower-level variables to satisfy constraints, while the upper-level works on optimizing upper-level variables to minimize the objective. The division of upper-level and lower-level variables depends on the impact of these variables on solution feasibility. The variables with significant impacts on solution feasibility have larger probability to be allocated to lower-level.

For more information, please contact Xunzhao Yu ([email protected]).