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Application of surrogate-based optimization methods to simulation-driven microwave engineering design is demonstrated. It is essential for the considered techniques that the optimization of the original high-fidelity EM-simulated model is replaced by the iterative optimization of its computationally cheap surrogate. The surrogate is updated using available high-fidelity model data to maintain its...
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