Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...
Abstract: Constraint-handling techniques and genetic operators are two crucial components in constrained multi-objective evolutionary algorithms (CMOEAs). Recent research in most of CMOEAs has ...