并行电磁优化方法的最新进展

F. Feng, Venu-Madhav-Reddy Gongal-Reddy, Chao Zhang, W. Na, Shunlu Zhang, Qi-jun Zhang
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引用次数: 2

摘要

并行计算是提高电磁优化速度的有效方法。本文综述了近年来微波电路的并行电磁优化方法。本文主要讨论了基于粗糙模型的并行电磁优化技术和无粗糙模型的并行电磁优化技术。使用并行技术,可以同时生成多个电磁数据。然后使用多个EM数据对代理模型进行训练,使其在更大的区域有效,从而加快整个EM优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in parallel EM optimization approaches
Parallel computation is an efficient method for speeding up electromagnetic (EM) optimization. This paper reviews the recent advanced parallel EM optimization approaches to microwave circuits. Recent techniques are discussed in this paper which include parallel EM optimization with coarse models and parallel EM optimization without available coarse models. Using parallel techniques, multiple EM data are generated simultaneously. The surrogate model is then trained to be valid in a larger region using multiple EM data, thus speeds up the entire EM optimization.
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