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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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-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 |
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| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Liu, Professor 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 |
| Publisher: | Elsevier |
| ISSN: | 2288-4300 |
| 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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