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Abstract
Cost-efficient multi-objective design of antenna structures is presented. Our approach is based on design space reduction algorithm using auxiliary single-objective optimization runs and coordinate system rotation. The initial set of Pareto-optimal solutions is obtained by optimizing a response surface approximation model established in the reduced space using coarse-discretization EM simulation data. The optimization engine is multi-objective evolutionary algorithm (MOEA). The designs obtained by MOEA are subsequently refined by means of response correction techniques. Our approach is demonstrated using a planar UWB dipole antenna.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 2015 9th European Conference on Antennas and Propagation (EuCAP) strony 1 - 4
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Kozieł S., Bekasiewicz A..: Rotational Design Space Reduction for Cost-Efficient Multi-Objective Antenna Optimization, W: 2015 9th European Conference on Antennas and Propagation (EuCAP), 2015, IEEE,.
- Verified by:
- Gdańsk University of Technology
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