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Design Space Reduction for Expedited Multi-Objective Design Optimization of Antennas in Highly-Dimensional Spaces
Abstract
A surrogate-based technique for efficient multi-objective antenna optimization is discussed. Our approach exploits response surface approximation (RSA) model constructed from low-fidelity antenna model data (here, obtained through coarse-discretization electromagnetic simulations). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. The cost of RSA model construction for multi-parameter antennas is significantly lowered through initial design space reduction. Optimization of the response surface approximation model is carried out by a multi-objective evolutionary algorithm. Additional response correction techniques are subsequently applied to improve selected designs at the level of high-fidelity electromagnetic antenna model. The refined designs constitute the final Pareto set representation. The pre-sented multi-objective design approach is validated using three examples: a six-variable ultra-wideband dipole antenna, an eight-variable planar Yagi-Uda anten-na and an ultra-wideband monocone with thirteen design variables.
Authors (3)
-
Sławomir Kozieł prof. dr inż.
- School of Science and Engineering, Reykjavik University, Reykjavik, Iceland Engineering Optimization and Modeling Center
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- W : Solving Computationally Expensive Engineering Problems strony 113 - 147
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Bekasiewicz A., Kozieł S., Zieniutycz W.: Design Space Reduction for Expedited Multi-Objective Design Optimization of Antennas in Highly-Dimensional Spaces// W : Solving Computationally Expensive Engineering Problems/ ed. S. Koziel, L. Leifsson, X-S. Yang New York: Springer, 2014, s.113-147
- Verified by:
- Gdańsk University of Technology
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