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

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...

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Detalles Bibliográficos
Autores principales: Liu, Ying, Cheng, Qingsha S., Koziel, Slawomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678264/
https://www.ncbi.nlm.nih.gov/pubmed/31336769
http://dx.doi.org/10.3390/s19143065
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author Liu, Ying
Cheng, Qingsha S.
Koziel, Slawomir
author_facet Liu, Ying
Cheng, Qingsha S.
Koziel, Slawomir
author_sort Liu, Ying
collection PubMed
description 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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spelling pubmed-66782642019-08-19 A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design Liu, Ying Cheng, Qingsha S. Koziel, Slawomir Sensors (Basel) Article 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. MDPI 2019-07-11 /pmc/articles/PMC6678264/ /pubmed/31336769 http://dx.doi.org/10.3390/s19143065 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Ying
Cheng, Qingsha S.
Koziel, Slawomir
A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design
title A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design
title_full A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design
title_fullStr A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design
title_full_unstemmed A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design
title_short A Generalized SDP Multi-Objective Optimization Method for EM-Based Microwave Device Design
title_sort generalized sdp multi-objective optimization method for em-based microwave device design
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678264/
https://www.ncbi.nlm.nih.gov/pubmed/31336769
http://dx.doi.org/10.3390/s19143065
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