Abstract
In this paper, a novel algorithm for simulation-driven miniaturization of wideband antennas has been presented. Our approach exploits low-fidelity representation of the full-wave EM simulation model of the antenna at hand, trust-region-embedded gradient search with implicit constraint handling, as well as second-order polynomial models enhanced using output and frequency space mapping. It also features a repair procedure for handling infeasible solutions, which plays an important role in traversing the feasible region boundary and leads to reduced computational cost of the optimization process. Our methodology is validated using two ultra-wideband antennas and compared to conventional trust-region algorithm.
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