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

Liu, B. , Koziel, S. and Ali, N. (2017) SADEA-II: a generalized method for efficient global optimization of antenna design. Journal of Computational Design and Engineering, 4(2), pp. 86-97. (doi: 10.1016/j.jcde.2016.11.002)

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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-of-the-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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Liu, Dr Bo
Authors: Liu, B., Koziel, S., and Ali, N.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Journal of Computational Design and Engineering
ISSN (Online):2288-5048
Published Online:20 November 2016
Copyright Holders:Copyright © 2016 Society for Computational Design and Engineering
First Published:First published in Journal of Computational Design and Engineering 4(2): 86-97
Publisher Policy:Reproduced under a Creative Commons License

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