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Computational Optimization and Applications in Engineering and Industry pp 57–97Cite as

Simulation-Driven Design in Microwave Engineering: Application Case Studies

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 359))

Abstract

Application of surrogate-based optimization methods to simulation-driven microwave engineering design is demonstrated. It is essential for the considered techniques that the optimization of the original high-fidelity EM-simulated model is replaced by the iterative optimization of its computationally cheap surrogate. The surrogate is updated using available high-fidelity model data to maintain its prediction capability throughout the optimization process. The surrogate model is constructed from the low-fidelity model which—depending on a particular application case—can be either an equivalent circuit or a coarsely discretized full-wave electromagnetic model. Designs satisfying performance requirements are typically obtained at the cost of just a few evaluations of the high-fidelity model. Here, several surrogate-based design optimization techniques for the use in microwave engineering are discussed. Applications of space mapping, simulation-based tuning, variable-fidelity optimization, as well as various response correction techniques are illustrated. Design examples include planar filters, antennas, and transmission line transitions structures.

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Author information

Authors and Affiliations

  1. Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavik University, Menntavegur 1, Reykjavik, 101, Iceland

    Slawomir Koziel & Stanislav Ogurtsov

Authors
  1. Slawomir Koziel
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  2. Stanislav Ogurtsov
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Editors and Affiliations

  1. National Physical Laboratory, Mathematics and Scientific Computing, TW11 0LW, Teddington, Middlesex, UK

    Xin-She Yang

  2. Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavik University, Menntavegur 1, 101, Reykjavik, Iceland

    Slawomir Koziel

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Koziel, S., Ogurtsov, S. (2011). Simulation-Driven Design in Microwave Engineering: Application Case Studies. In: Yang, XS., Koziel, S. (eds) Computational Optimization and Applications in Engineering and Industry. Studies in Computational Intelligence, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20986-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-20986-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20985-7

  • Online ISBN: 978-3-642-20986-4

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