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The paper addresses the problem of power distribution grids optimization in terms of reducing costs related to undelivered energy due to network failures. Grid optimization is realized by allocating the cut points that may limit the effects of the failure on the network operation. A possible method of allocating these points, explored in this work, is the optimization of the grid structure using evolutionary...
Fast scaling of geometry parameters that allows finding the structure dimensions for various operating frequencies is important to expedite the antenna design process. In this paper, we address the scaling problem for dual-band antennas so that optimum dimensions ensuring that the antenna operates at the two frequencies of choice can be obtained at minimum cost. Our approach exploits inverse surrogate...
In this paper, a technique for low-cost statistical analysis and yield estimation of compact microwave couplers has been presented. The analysis is executed at the level of a fast surrogate model representing selected characteristic points of the coupler response that are critical to determine satisfaction/violation of the prescribed design specifications. Because of less nonlinear dependence of the...
A technique for rapid simulation-based design of planar antenna arrays is presented. The proposed approach is based on establishing a suitable correction of the analytical array factor model of the array of interest. The corrected array factor is utilized as a fast surrogate allowing us to find the optimum element spacing and phase excitations at low computational cost. The correction terms are iteratively...
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...
In this paper, we propose a simple, yet reliable methodology to expedite yield estimation and optimization of microwave structures. In our approach, the analysis of the entire response of the structure at hand (e.g., -parameters as a function of frequency) is replaced by response surface modeling of suitably selected feature points. On the one hand, this is sufficient to determine whether a design...
In this work, a technique for expedited design of microstrip antenna arrays using surrogate-based optimization is presented. The proposed methodology exploits an antenna array model which superposes EM-simulated responses (both radiation and reflection) of the array with only one radiator active at a time. Low optimization cost is maintained by constructing the model from coarse-discretization EM-simulation...
Surrogate-based optimization (SBO) is applied to design of planar antenna arrays. Design goals include radiation pattern optimization and matching at the element terminals. Our approach uses two low-fidelity models: an array model based on the single element radiation response combined with the analytical array factor, and a discrete coarse-mesh electromagnetic (EM) model of the entire array. Both...
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