The purpose of this study was to develop an evolutionary algorithm (EA) with bilevel surrogate modeling, called BL-SAEA, for tackling bilevel optimization problems (BLOPs), in which an upper level ...

In contrast, some other efficient sparse regularization methods are nonlinear, making them more challenging to solve. These sparse regularization can address the limitations of L1-norm regularization, ...