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The paper presents a computationally-efficient methodology for multi-objective optimization of antenna structures. In our approach, the set of designs representing the best possible trade-offs between conflicting objectives is obtained by moving along the Pareto front and identifying the subsequent Pareto-optimal solutions using surrogate-based optimization techniques. For the sake of computational...
A computationally efficient method for the multi-objective optimization of shaped offset Gregorian reflector systems is presented. The method uses space mapping to construct a fast surrogate model of the responses of interest - aperture efficiency and side lobe level. The Pareto front of the surrogate is found, and the model iteratively re-aligned along the front. Ideal Gaussian feeds are used, and...
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