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Statistical microwave circuit optimization via a non-derivative trust region approach and space mapping surrogates

机译:通过非导数信赖域方法和空间映射替代进行统计微波电路优化

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摘要

A novel yield optimization technique for microwave circuits is presented. Yield optimization of microwave circuits is obstructed by the high expense of electromagnetic simulations required in yield evaluations in addition to the absence of any gradient information. In the proposed technique, surrogates using the generalized space mapping (GSM) algorithm is incorporated with a derivative-free trust region optimization method (NEWUOA: new unconstrained optimization algorithm). Moreover, a variance reduction technique is implemented in yield estimation process. Practical examples to demonstrate this new technique are included showing its efficiency.
机译:提出了一种新颖的微波电路良率优化技术。除了缺乏任何梯度信息之外,微波电路的良率优化还受到良率评估所需的大量电磁仿真费用的阻碍。在所提出的技术中,使用广义空间映射(GSM)算法的替代方法与无导数信任区优化方法(NEWUOA:新的无约束优化算法)结合在一起。此外,在产量估计过程中实现了方差减少技术。包括了演示此新技术的实践示例,以展示其效率。

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