A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design

被引：9
|
作者：
Liu, Ying [1 ,2 ]
Cheng, Qingsha S. [1 ]
Koziel, Slawomir [3 ,4 ]
机构：
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[2] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China
[3] Reykjavik Univ, Sch Sci & Engn, Menntavegur 1, IS-101 Reykjavik, Iceland
[4] Gdansk Univ Technol, Fac Elect Telecommun & Informat, PL-80233 Gdansk, Poland
来源：
SENSORS | 2019年 / 19卷 / 14期
基金：
中国国家自然科学基金;
关键词：
multi-objective optimization; Pareto front; microwave devices design; EM-based simulation; generalized sequential domain patching; UWB antenna; ANTENNA DESIGN;
D O I：
10.3390/s19143065
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
In this article, a generalized sequential domain patching (GSDP) method for efficient multi-objective optimization based on electromagnetics (EM) simulation is proposed. The GSDP method allowing fast searching for Pareto fronts for two and three objectives is elaborated in detail in this paper. The GSDP method is compared with the NSGA-II method using multi-objective problems in the DTLZ series, and the results show the GSDP method saved computational cost by more than 85% compared to NSGA-II method. A diversity comparison indicator (DCI) is used to evaluate approximate Pareto fronts. The comparison results show the diversity performance of GSDP is better than that of NSGA-II in most cases. We demonstrate the proposed GSDP method using a practical multi-objective design example of EM-based UWB antenna for IoT applications.
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收藏
页数：16
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