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EM-Driven Multi-Objective Optimization of a Generic Monopole Antenna by Means of a Nested Trust-Region Algorithm
Abstract
Antenna structures for modern applications are characterized by complex and unintuitive topologies that are difficult to develop when conventional experience-driven techniques are of use. In this work, a method for automatic generation of antenna geometries in a multi-objective setup has been proposed. The approach involves optimization of a generic spline-based radiator with adjustable number of parameters using a nested trust-region-based algorithm. The latter iter-atively increases dimensionality of the radiator in order to gradually improve its performance. The method has been used to generate a set of nine antenna designs representing a trade-off between minimization of reflection within 3.1 GHz to 10.6 GHz and reduction of size. The properties of optimized designs vary along the Pareto set from –10 dB to –20 dB, and from 230 mm2 to 757 mm2 for the first, and the second objective, respectively. The presented design approach has been validated against a genuine population-based optimization routine. Furthermore, the smallest Pareto-optimal design has been compared to the antennas from the literature.
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Applied Sciences-Basel
no. 11,
ISSN: 2076-3417 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Bekasiewicz A., Kozieł S., Płotka P., Zwolski K.: EM-Driven Multi-Objective Optimization of a Generic Monopole Antenna by Means of a Nested Trust-Region Algorithm// Applied Sciences-Basel -Vol. 11,iss. 9 (2021), s.3958-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app11093958
- Verified by:
- Gdańsk University of Technology
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