Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm-Reference-Cited by-同舟云学术

Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm

Published:2019-12 Issue:4 Volume:18 Page:530-544
ISSN:2179-1074
Container-title:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
language:
Short-container-title:J. Microw. Optoelectron. Electromagn. Appl.

Author:

Neto Miércio C. A.¹^ORCID,Araújo Jasmine P. L.¹^ORCID,Mota Raimundo J. S.¹^ORCID,Barros Fabrício J. B.¹^ORCID,Ferreira Flávio H. C. S.¹^ORCID,Cavalcante Gervásio P. S.¹^ORCID,Castro Bruno S. L.¹^ORCID

Affiliation:

1. Federal University of Pará, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Electrical and Electronic Engineering

Link

http://www.scielo.br/pdf/jmoea/v18n4/2179-1074-jmoea-18-04-0530.pdf

Reference33 articles.

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3. A Metaheuristic Hybrid Optimization Technique for Designing Broadband FSS;Alcântara Neto M. C.;SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC),2015

4. Bat Algorithm for Multiobjective Optimization;Yang X. S.;Int. J. Bio-Inspired Computation,2011

5. Characterization of Switchable Rectangular Ring FSS with Non Coupled Parallel Metallic Strips for Multi Band and Dual Polarized Applications Using WCIP Method;Saidi R.;Journal of Microwaves, Optoelectronics and Electromagnetic Applications,2018

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