Multi-Objective Design of Antennas Using Variable-Fidelity Simulations and Surrogate Models

被引：154

作者：

Koziel, Slawomir ^{[1
]}

Ogurtsov, Stanislav ^{[1
]}

机构：

[1] Reykjavik Univ, Sch Sci & Engn, Engn Optimizat & Modeling Ctr, Reykjavik, Iceland

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2013年 / 61卷 / 12期

关键词：

Antenna design; computer-aided design (CAD); evolutionary algorithms; multi-objective optimization; surrogate models; PARTICLE SWARM OPTIMIZATION; QUASI-YAGI ANTENNA; GENETIC ALGORITHM;

D O I：

10.1109/TAP.2013.2283599

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

A computationally-efficient procedure for multi-objective design of antenna structures is presented. Our approach exploits the multi-objective evolutionary algorithm (MOEA) working with a fast antenna surrogate model obtained with kriging interpolation of coarse-discretization simulation data. Response correction techniques are subsequently applied to refine the designs obtained by MOEA. Our methodology allows us to obtain-at a low computational cost-a set of designs corresponding to various trade-offs between the antenna size and the refection coefficient. Two illustration examples are considered: (i) an UWB monocone with two objectives being reduction of the antenna size and minimization of the antenna reflection coefficient in the bandwidth of interest, and (ii) a planar Yagi antenna with the objectives being an increase of the end-fire gain and minimization of the reflection coefficient, both in the bandwidth of interest.

引用

页码：5931 / 5939

页数：9

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