Cost/Performance Trade-Off of Domain Segmentation for EM-Driven Surrogate-Assisted Multi-Objective Antenna Design
Cost/Performance Trade-Off of Domain Segmentation for EM-Driven Surrogate-Assisted Multi-Objective Antenna Design
- Author(s): A. Bekasiewicz and S. Koziel
- DOI: 10.1049/cp.2017.0277
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- Author(s): A. Bekasiewicz and S. Koziel Source: Loughborough Antennas & Propagation Conference (LAPC 2017), 2017 page (4 pp.)
- Conference: Loughborough Antennas & Propagation Conference (LAPC 2017)
- DOI: 10.1049/cp.2017.0277
- ISBN: 978-1-78561-699-0
- Location: Loughborough, UK
- Conference date: 13-14 Nov. 2017
- Format: PDF
EM-driven multi-objective design of modern antenna structures is a challenging task which involves seeking for trade-offs between various electrical/field performance figures and geometrical requirements. Conventional approach for solving these problems, i.e., utilization of population-based metaheuristics, is numerically prohibitive as such methods require thousands of EM simulations to complete the optimization run. Design cost can be reduced by executing a metaheuristic algorithm on a fast data-driven model constructed from coarsely-discretized EM simulation data. One of the most recent methods exploiting such a concept, allows for low cost determination of the Pareto set by dividing the search space into a set of adjacent compartments (each of which is represented by a separate data-driven model) located along the Pareto front. In this work, the effect of setup segmentation on performance and computational cost of the design process is investigated. Our considerations are illustrated using a planar monopole antenna. A discussion on the obtained numerical results is also provided.
Inspec keywords: planar antennas; Pareto optimisation; monopole antennas; antenna theory
Subjects: Single antennas; Antenna theory; Optimisation techniques
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