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The purpose of this letter is the introduction of a novel methodology for expedited multiobjective design of antenna structures. The key component of the presented approach is fast identification of the initial representation of the Pareto front (i.e., a set of design representing the best possible tradeoffs between conflicting objectives) using a Pareto-ranking bisection algorithm. The algorithm...
Practical design of microwave components and circuits is a compromise between various, often conflicting objectives. In case of compact structures, the trade-offs are typically concerned with the circuit size and its electrical performance. Comprehensive information about the best possible trade-offs can be obtained by means of multi-objective optimization. In this paper, we propose a computationally...
A fast technique for fault detection in realistic, electromagnetic (EM)-simulated antenna arrays is proposed. In our approach, an auxiliary analytical array factor formula is enhanced using suitable response correction methods and utilized as a fast representation (or surrogate) of the accurate, EM-based array model. The surrogate is then used to detect faulty elements from amplitude-only data using...
Cost-efficient multi-objective design of antenna structures is presented. Our approach is based on design space reduction algorithm using auxiliary single-objective optimization runs and coordinate system rotation. The initial set of Pareto-optimal solutions is obtained by optimizing a response surface approximation model established in the reduced space using coarse-discretization EM simulation data...
Microwave design optimization using variable-fidelity electromagnetic (EM) simulations and multi-point response correction is presented. In our approach, optimization of the computationally expensive high-fidelity EM model is replaced by iterative design improvement of the low-fidelity model, which is obtained from coarse-discretization EM simulation data. The low-fidelity model is enhanced through...
Space mapping (SM) technology includes so-called output SM that ensures exact matching between the surrogate and the fine model at the current design. Output SM exploits the fine model data at a single design and is not able to align the models' sensitivity. Here, a multipoint response correction is introduced that generalizes the concept of output SM. By using a design-variable-dependent correction...
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