Title :
Low-cost multi-objective optimization of Yagi-Uda antenna in multi-dimensional parameter space
Author :
Bekasiewicz, Adrian ; Zieniutycz, W. ; Koziel, Slawomir
Author_Institution :
Fac. of Electron., Telecommun. & Inf., Gdansk Univ. of Technol., Gdansk, Poland
Abstract :
A surrogate-based technique for fast multi-objective optimization of a multi-parameter planar Yagi-Uda antenna structure is presented. The proposed method utilizes response surface approximation (RSA) models constructed using training samples obtained from evaluation of the low-fidelity antenna model. Utilization of the RSA models allows for fast determination of the best possible trade-offs between conflicting objectives in multi-objective optimization framework. Computationally feasible construction of the RSA model for the multi-parameter case is possible by initial reduction of the antenna solution space. The initial set of Pareto-optimal designs is obtained by optimizing the model with a multi-objective evolutionary algorithm (MOEA). Surrogate-based optimization is subsequently carried out to elevate the selected designs to the high-fidelity antenna model level. The refined Pareto optimal-set for the considered Yagi-Uda antenna is generated at the low computational cost corresponding to about 194 high-fidelity EM antenna simulations.
Keywords :
Pareto optimisation; Yagi antenna arrays; evolutionary computation; parameter space methods; planar antennas; response surface methodology; EM antenna simulations; MOEA; Pareto-optimal designs; RSA; antenna solution space; computational cost; computational feasible construction; low-cost multiobjective optimization; low-fidelity antenna model; multidimensional parameter space; multiobjective evolutionary algorithm; multiparameter planar Yagi-Uda antenna structure; response surface approximation; surrogate-based technique; Antennas; Computational modeling; Impedance matching; Microstrip; Optimization; Radio frequency; Silicon; EM-driven design; Multi-objective optimization; antenna design; design space reduction; surrogate modeling;
Conference_Titel :
Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
Conference_Location :
Gdansk
Print_ISBN :
978-617-607-553-0
DOI :
10.1109/MIKON.2014.6899978