Constrained space mapping for design optimization of microwave circuits

Here, a novel approach is proposed that exploits over-flexible surrogate model and adaptively adjusted constraints imposed on the parameter extraction and surrogate optimization processes. As a result, improved performance of the space mapping (SM) algorithm is obtained both with respect to its convergence properties and the quality of the final design. Additionally, our algorithm alleviates the surrogate model selection problem.