A clonal selection algorithm with varying order finite elements for the optimization of microwave devices

A real‐coded clonal selection algorithm (RCSA), which is a global search method based on the artificial immune systems paradigm, is applied for optimizing microwave devices. We couple RCSA with varying high‐order finite elements (FEs) to control the balance between the global and local search efforts in the algorithm. In this scheme, low‐order FEs are used in the global search, whereas varying high‐order FEs are used in the local search. The proposed technique is investigated in the designs of an E‐plane miter bend and a rectangular waveguide impedance transformer. The results illustrate the accuracy and computational savings of this method.