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首页> 外文期刊>International journal of RF and microwave computer-aided engineering >Accelerated multiobjective design of miniaturizedmicrowave components by means of nested kriging surrogates
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Accelerated multiobjective design of miniaturizedmicrowave components by means of nested kriging surrogates

机译：嵌套克里格替代方法加速微型化微波组件的多目标设计

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摘要

Design of microwave components is an inherently multiobjective task. Often,the objectives are at least partially conflicting and the designer has to work outa suitable compromise. In practice, generating the best possible trade-offdesigns requires multiobjective optimization, which is a computationallydemanding task. If the structure of interest is evaluated through full-wave electromagnetic(EM) analysis, the employment of widely used population-basedmetaheuristics algorithms may become prohibitive in computational terms.This is a common situation for miniaturized components, where considerablecross-coupling effects make traditional representations (eg, network equivalents)grossly inaccurate. This article presents a framework for acceleratedEM-driven multiobjective design of compact microwave devices. It adopts arecently reported nested kriging methodology to identify the parameter spaceregion containing the Pareto front and to render a fast surrogate, subsequentlyused to find the first approximation of the Pareto set. The final trade-offdesigns are produced in a separate, surrogate-assisted refinement process. Ourapproach is demonstrated using a three-section impedance matching transformerdesigned for the best matching and the minimum footprint area. ThePareto set is generated at the cost of only a few hundred of high-fidelity EMsimulations of the transformer circuit despite a large number of geometryparameters involved.
机译：微波组件的设计是固有的多目标任务。通常，目标至少有部分冲突，设计人员必须做出适当的妥协。在实践中，产生最佳可能的折衷设计需要多目标优化，这是一项计算要求高的任务。如果通过全波电磁（EM）分析评估感兴趣的结构，则在计算方面可能会禁止使用广泛使用的基于人口的磁学算法，这是小型化组件的常见情况，在这种情况下，相当大的交叉耦合效应成为传统的表示形式（例如，等效网络）严重不准确。本文提出了一种用于紧凑型微波设备的加速EM驱动的多目标设计的框架。它采用了最近报道的嵌套克里金法来识别包含Pareto前沿的参数空间区域并进行快速替代，随后用于找到Pareto集的第一近似值。最终的权衡设计是在单独的，由代理辅助的提炼过程中产生的。我们使用三段式阻抗匹配变压器演示了我们的方法，该变压器设计为实现最佳匹配和最小占位面积。尽管涉及大量的几何参数，但仅以变压器电路的几百个高保真度仿真为代价生成了帕累托集。

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