Role of constraints in surrogate-based design optimisation of microwave structures
Role of constraints in surrogate-based design optimisation of microwave structures
- Author(s): S. Koziel
- DOI: 10.1049/iet-map.2010.0240
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- Author(s): S. Koziel 1
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View affiliations
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Affiliations:
1: Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavik University, Reykjavik, Iceland
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Affiliations:
1: Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavik University, Reykjavik, Iceland
- Source:
Volume 5, Issue 5,
11 April 2011,
p.
588 – 595
DOI: 10.1049/iet-map.2010.0240 , Print ISSN 1751-8725, Online ISSN 1751-8733
Space mapping (SM) is probably one of the most efficient simulation-driven design methodologies used in microwave engineering to date. Nevertheless, its performance heavily depends on the proper selection of the surrogate model, a computationally cheap representation of the microwave structure under consideration, which is the key component of the SM algorithm. Despite some attempts of automating the set-up of the surrogate model and its parameters, the successful application of SM still requires some user experience. In this work, an efficient method to alleviate this problem is discussed that exploits adaptively constrained parameter extraction and surrogate optimisation processes. As a result, improved convergence properties and overall performance of the SM algorithm are observed. The proposed technique is verified through the design of several microstrip filters. It is also compared with standard SM as well as SM enhanced by a trust-region methodology.
Inspec keywords: microwave filters; network synthesis; optimisation; parameter estimation; microstrip filters
Other keywords:
Subjects: Filters and other networks; Waveguide and microwave transmission line components
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