Multi-Objective Design of Antennas Using Variable-Fidelity Simulations and Surrogate Models
Multi-Objective Design of Antennas Using Variable-Fidelity Simulations and Surrogate Models
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DOI：
10.1109/tap.2013.2283599
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发表时间：
2013-09
影响因子：
5.7
通讯作者：
S. Koziel;S. Ogurtsov
中科院分区：
文献类型：
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作者：
S. Koziel;S. Ogurtsov
提出了一种计算效率高的天线结构多目标设计方法。我们的方法利用多目标进化算法（MOEA）与粗离散化模拟数据的克里格插值获得的快速天线代理模型。响应校正技术随后应用于改进MOEA获得的设计。我们的方法使我们能够以较低的计算成本获得一组设计对应的天线尺寸和反射系数之间的各种权衡。两个说明的例子被认为是：（i）一个UWB单锥有两个目标是减少天线的尺寸和最小化的天线反射系数在感兴趣的带宽，和（ii）一个平面八木天线的目标是增加的端射增益和最小化的反射系数，都在感兴趣的带宽。
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.