Design optimization of metamaterial units using a genetic algorithm based optimization methodology
ISSN: 0332-1649
Article publication date: 29 November 2020
Issue publication date: 26 February 2021
Abstract
Purpose
The purpose of this paper is to develop a pertinent design optimization methodology for symmetric designs of a metamaterial (MM) unit.
Design/methodology/approach
A cell division mechanism is introduced and used to design a new selecting mechanism in the proposed algorithm, a non-dominated sorting cellular genetic algorithm (NSCGA).
Findings
The numerical results on solving standard multi-objective test functions and a prototype MM unit positively demonstrate the advantages of the proposed NSCGA.
Originality/value
A new NSGAII-based optimization algorithm, NSCGA, for multi-objective optimization designs of a MM unit is proposed.
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation of China under grant No. 51677163.
Citation
Li, Y. and Yang, S. (2021), "Design optimization of metamaterial units using a genetic algorithm based optimization methodology", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 40 No. 1, pp. 18-26. https://doi.org/10.1108/COMPEL-03-2020-0107
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited