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SADEA-II: A generalized method for efficient global optimization of antenna design

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dc.contributor Háskólinn í Reykjavík
dc.contributor Reykjavik University
dc.contributor.author Liu, Bo
dc.contributor.author Koziel, Slawomir
dc.contributor.author Ali, Nazar
dc.date.accessioned 2020-03-27T10:41:59Z
dc.date.available 2020-03-27T10:41:59Z
dc.date.issued 2016-11-20
dc.identifier.citation Liu, B., Koziel, S., & Ali, N. (2017). SADEA-II: A generalized method for efficient global optimization of antenna design. Journal of Computational Design and Engineering, 4(2), 86–97. https://doi.org/10.1016/j.jcde.2016.11.002
dc.identifier.issn 2288-4300
dc.identifier.issn 2288-5048 (eISSN)
dc.identifier.uri https://hdl.handle.net/20.500.11815/1662
dc.description.abstract Efficiency improvement is of great significance for simulation-driven antenna design optimization methods based on evolutionary algorithms (EAs). The two main efficiency enhancement methods exploit data-driven surrogate models and/or multi-fidelity simulation models to assist EAs. However, optimization methods based on the latter either need ad hoc low-fidelity model setup or have difficulties in handling problems with more than a few design variables, which is a main barrier for industrial applications. To address this issue, a generalized three stage multi-fidelity simulation -model assisted antenna design optimization framework is proposed in this paper. The main ideas include introduction of a novel data mining stage handling the discrepancy between simulation models of different fidelities, and a surrogate-model-assisted combined global and local search stage for efficient high-fidelity simulation model-based optimization. This framework is then applied to SADEA, which is a state-ofthe-art surrogate-model-assisted antenna design optimization method, constructing SADEA-II. Experimental results indicate that SADEA-II successfully handles various discrepancy between simulation models and considerably outperforms SADEA in terms of computational efficiency while ensuring improved design quality.
dc.description.sponsorship The authors thank CST AG for making CST Microwave Studio available. The authors would like to thank Dr. Renato Cordeiro de Amorim, Glyndwr University, UK for valuable discussions.
dc.format.extent 86-97
dc.language.iso en
dc.publisher Oxford University Press (OUP)
dc.relation.ispartofseries Journal of Computational Design and Engineering;4(2)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Antenna design optimization
dc.subject Antenna design automation
dc.subject Surrogate-model-assisted evolutionary algorithm
dc.subject Expensive optimization
dc.subject Multi-fidelity
dc.subject Variable fidelity
dc.subject Gaussian process
dc.subject Loftnet
dc.subject Hönnun
dc.subject Bestun
dc.subject Líkön
dc.subject Hermilíkön
dc.subject Reiknirit
dc.subject Slembiferli
dc.title SADEA-II: A generalized method for efficient global optimization of antenna design
dc.type info:eu-repo/semantics/article
dcterms.license This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
dc.description.version "Peer Reviewed"
dc.identifier.journal Journal of Computational Design and Engineering
dc.identifier.doi 10.1016/j.jcde.2016.11.002
dc.contributor.department Engineering Optimization & Modeling Center (EOMC) (RU)
dc.contributor.school Tækni- og verkfræðideild (HR)
dc.contributor.school School of Science and Engineering (RU)

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