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Abstract
Feasible multi-objective optimization of antenna structures is presented. An initial set of Pareto optimal solutions is found using a multi-objective evolutionary algorithm (MOEA) working with a fast surrogate antenna model obtained by kriging interpolation of coarse-discretization EM simulation data. To make the surrogate construction computationally feasible in multi-dimensional design space, the space subset containing non-dominated solutions is identified beforehand using a novel Pareto-ranking based algorithm. The designs obtained by MOEA are subsequently obtained through response correction techniques. Our approach is demonstrated using a planar Yagi antenna.
Authors (4)
-
Sławomir Kozieł prof. dr inż.
- School of Science and Engineering, Reykjavik University, Rejkjavik, Iceland Engineering Optimization and Modeling Center
-
Stanislav Ogurtsov
- School of Science and Engineering, Reykjavik University, Rejkjavik, Iceland Engineering Optimization and Modeling Center
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Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- IEEE International Symposium on Antennas and Propagation strony 1952 - 1953
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Kozieł S., Bekasiewicz A., Ogurtsov S., Zieniutycz W..: EM-Driven Multi-Objective Optimization of Antenna Structures in Multi-Dimensional Design Spaces, W: IEEE International Symposium on Antennas and Propagation, 2014, APSURSI,.
- Verified by:
- Gdańsk University of Technology
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