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Expensive Highly Constrained Antenna Design Using Surrogate-Assisted Evolutionary Optimization.

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Titel: Expensive Highly Constrained Antenna Design Using Surrogate-Assisted Evolutionary Optimization.
Autoren: Hu, Caie, Zeng, Sanyou, Li, Changhe
Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 18, p3613, 12p
Schlagwörter: ANTENNA design, SURROGATE-based optimization, CONSTRAINED optimization, ARTIFICIAL intelligence, COMPUTATIONAL electromagnetics, EVOLUTIONARY algorithms, MULTI-objective optimization
Abstract: Antenna structure design constitutes a computationally expensive optimization problem due to the requirement for full-wave electromagnetic (EM) simulations. Surrogate-assisted evolutionary algorithms offer a promising approach for addressing such challenges. However, several challenges remain in solving expensive, highly constrained antenna design problems. This paper introduces a surrogate-assisted dynamic constrained multi-objective evolutionary algorithm framework to tackle expensive and highly constrained antenna design optimization tasks. A multi-layer perceptron (MLP) is employed as the surrogate model to approximate EM evaluations and alleviate the computational burden, while a dynamic scale-constrained boundary strategy is implemented to handle highly constraints. The effectiveness of the proposed method is validated on a set of constrained benchmark problems and two antenna design cases. [ABSTRACT FROM AUTHOR]
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Abstract:Antenna structure design constitutes a computationally expensive optimization problem due to the requirement for full-wave electromagnetic (EM) simulations. Surrogate-assisted evolutionary algorithms offer a promising approach for addressing such challenges. However, several challenges remain in solving expensive, highly constrained antenna design problems. This paper introduces a surrogate-assisted dynamic constrained multi-objective evolutionary algorithm framework to tackle expensive and highly constrained antenna design optimization tasks. A multi-layer perceptron (MLP) is employed as the surrogate model to approximate EM evaluations and alleviate the computational burden, while a dynamic scale-constrained boundary strategy is implemented to handle highly constraints. The effectiveness of the proposed method is validated on a set of constrained benchmark problems and two antenna design cases. [ABSTRACT FROM AUTHOR]
ISSN:20799292
DOI:10.3390/electronics14183613