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Scalability of surrogate-assisted multi-objective optimization of antenna structures exploiting variable-fidelity electromagnetic simulation models
Abstract
Multi-objective optimization of antenna structures is a challenging task due to high-computational cost of evaluating the design objectives as well as large number of adjustable parameters. Design speedup can be achieved by means of surrogate-based optimization techniques. In particular, a combination of variable-fidelity electromagnetic (EM) simulations, design space reduction techniques, response surface approximation (RSA) models, and design refinement methods, permits identification of the Pareto-optimal set of designs within reasonable timeframe. Here, a study concerning scalability of surrogate-assisted multi-objective antenna design is carried out based on a set of benchmark problems with the dimensionality of the design space ranging from six to 24 and a CPU cost of the EM antenna model from 10 to 20 minutes per simulation. Numerical results indicate that the computational overhead of the design process increases more or less quadratically with the number of adjustable geometry parameters of the antenna structure at hand, which is a promising result from the point of view of handling even more complex problems.
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
ENGINEERING OPTIMIZATION
no. 48,
edition 10,
pages 1778 - 1792,
ISSN: 0305-215X - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Kozieł S., Bekasiewicz A.: Scalability of surrogate-assisted multi-objective optimization of antenna structures exploiting variable-fidelity electromagnetic simulation models// ENGINEERING OPTIMIZATION. -Vol. 48, iss. 10 (2016), s.1778-1792
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/0305215x.2015.1137565
- Verified by:
- Gdańsk University of Technology
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