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Fast Multi-Objective Antenna Optimization Using Sequential Patching and Variable-Fidelity EM Models

Abstract

In this work, a technique for fast multi-objective design optimization of antenna structures is presented. In our approach, the initial approximation of the Pareto set representing the best possible trade-offs between conflicting design objectives is obtained by means of sequential patching of the design space. The latter is a stencil-based search that aims at creating a path that connects the extreme Pareto-optimal designs (obtained by means of single-objective optimization runs). For the sake of computational efficiency, the patching process is realized at the level of coarse-discretization EM simulation model. The final Pareto front is obtained through surrogate-based optimization, and it is reusing the EM simulation data acquired at the initial design stage. The proposed approach is demonstrated using the example of an ultra-wideband monopole antenna.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
Loughborough Antenna & Propagation Conference strony 1 - 4
Language:
English
Publication year:
2015
Bibliographic description:
Kozieł S., Bekasiewicz A..: Fast Multi-Objective Antenna Optimization Using Sequential Patching and Variable-Fidelity EM Models, W: Loughborough Antenna & Propagation Conference, 2015, IEEE,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/lapc.2015.7366067
Verified by:
Gdańsk University of Technology

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