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Fast Multi-Objective Optimization of Narrow-Band Antennas Using RSA Models and Design Space Reduction
Abstract
Computationally efficient technique for multi-objective design optimization of narrow-band antennas is presented. In our approach, the corrected low-fidelity antenna model (obtained through coarse-discretization EM simulations) is enhanced using frequency scaling and response correction, sampled, and utilized to obtain a fast response surface approximation (RSA) antenna surrogate. The RSA model is constructed in the reduced design space. The initial set of Pareto-optimal designs is then utilized to confine the design space further by identifying designs that satisfy minimum requirements with respect to antenna reflection response. The updated RSA model set up in the confined space is subsequently optimized to yield the final Pareto set at the low computational cost. The proposed methodology is illustrated using the example of compact quasi-isotropic dielectric resonator antenna.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE Antennas and Wireless Propagation Letters
no. 14,
pages 450 - 453,
ISSN: 1536-1225 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Kozieł S., Bekasiewicz A.: Fast Multi-Objective Optimization of Narrow-Band Antennas Using RSA Models and Design Space Reduction// IEEE Antennas and Wireless Propagation Letters. -Vol. 14, (2015), s.450-453
- Verified by:
- Gdańsk University of Technology
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