Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: May 2024
Next issue: Aug 2024
Avg review time: 57 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,621,685 unique visits
1,042,073 downloads
Since November 1, 2009



Robots online now
bingbot
Googlebot
SemanticScholar


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

Read More »


    
 

  4/2019 - 5

Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm

ULKER, S. See more information about ULKER, S. on SCOPUS See more information about ULKER, S. on IEEExplore See more information about ULKER, S. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (762 KB) | Citation | Downloads: 948 | Views: 381

Author keywords
computer aided engineering, evolutionary computation, impedance matching, microwave circuits, particle swarm optimization

References keywords
optimization(36), swarm(29), microwave(14), design(13), band(11), multi(9), algorithm(8), applications(7), power(6), artificial(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-11-30
Volume 19, Issue 4, Year 2019, On page(s): 37 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.04005
Web of Science Accession Number: 000505015400001
SCOPUS ID: 85077255996

Abstract
Quick view
Full text preview
A solution strategy is presented using a five-section transmission line impedance transformer aiming for multiple band matching network circuits. In this paper, the analysis, which is based on the transmission line theory and application of the evolutionary algorithm for the solution of the stated problem are explained. Design of the matching networks was performed and optimized at three different frequencies 1.8 GHz, 2.4 GHz and 3 GHz at the same time. Tests were performed for two different load configurations. The optimized design values obtained from the particle swarm optimization algorithm were verified for correctness using microwave simulator. After the fabrication of the circuits, the measurements were taken for these circuits for the validation of the design. From the observations that were made, it can be concluded that particle swarm optimization can be a good choice for the design and optimization of multiple band matching network circuits.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Chongcheawchamnan, S. Patisang, S. Srisathit, R. Phromloungsri, S. Bunnjaweht, "Analysis and design of a three-section transmission-line transformer," IEEE Trans. Microwave Theory and Techniques, vol. 53, issue-7, pp. 2458-2462, July 2005.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 62]


[2] X. H. Wang, L. Zhang, Y. Xu, Y. F. Bai, C. Liu, X.-W. Shi, "A tri-band impedance transformer using stubbed coupling line," Progress in Electromagnetics Research, vol.141, pp. 33-45, 2013.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 19]


[3] Z. Hu, C. Huang, S. He, F. You, "Tri-band matching technique based on characteristic impedance transformers for concurrent tri-band power amplifiers design," in TENCON 2015- 2015 IEEE Region 10 Conference, 1-4 Nov. 2015.
[CrossRef] [SCOPUS Times Cited 5]


[4] M. Khodier, N. Dib, J. Ababneh, "Design of multi-band multi-section transmission line transformer using particle swarm optimization," Electrical Engineering, vol. 90, issue 4, pp. 293-300, April 2008.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]


[5] L. -C. Tsai, "Design of triple-band impedance transformers using Z-transform techniques," IEEE Microwave and Wireless Component Letters, vol. 26, issue: 8, pp. 559-561, August 2016.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[6] L. -C. Tsai, "Triple-band impedance transformers using equal-length serial transmission lines," IET Microwaves, Antennas & Propagation, vol. 10, issue 5, pp. 568-573, April 2016.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 7]


[7] J. Kim, Y. Lee, "A Z-transform method for synthesis of unequal-length multisection transmission lines for multiband applications," IEEE Transactions on Microwave Theory and Techniques, vol. 65, issue:9, pp. 3200-3210, September 2017.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[8] Y. Li , T. Cantin, B. Derat, D. Pasquet, J-C. Bolomey, "Application of resonant matching circuits for simultaneously enhancing the bandwidths of multi-band mobile phones," in 2007 International Workshop on Antenna Technology: Small and Smart Antennas Metamaterials and Applications, pp. 479-482, June 2007.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 4]


[9] G. Sami, M. Mohanna, M. L. Rabeh, "Tri-band microstrip antenna design for wireless communication applications," NRIAG Journal of Astronomy and Geophysics, 2, pp. 39-44, (2013).
[CrossRef]


[10] M. Chongcheawchamnan, S. Patisang, M. Krairiksh, I.D. Robertson, "Tri-band Wilkinson power divider using a three-section transmission-line transformer," IEEE Microwave and Wireless Components Letters, vol. 16, issue 8, pp. 452-454, August 2006.
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 96]


[11] N. Dib, M. Khodier, "Design and optimization of multi-band Wilkinson power divider," International Journal of RF and Microwave Computer-Aided Engineering, vol. 18, Issue 1, pp. 14-20, January 2008.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 42]


[12] X-F. Luo, "Differential evolution strategy cum equivalent circuit method for the design of multi-band frequency selective surfaces," The Journal of China Universities of Posts and Telecommunications, vol. 18, supp. 1, pp. 101-105, September 2011.
[CrossRef] [SCOPUS Times Cited 5]


[13] M. Donelli, Md. Rukanuzzaman, C. Saavedra, "A methodology for the design of microwave systems and circuits using an evolutionary algorithm," Progress in Electromagnetics Research M, vol. 31, pp. 129-141, 2013.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 8]


[14] X-h. Fan, Y-b. Tan, Y. Zhao, "Optimal design of microwave devices by fitness estimation-based particle swarm optimization algorithm," Applied Computational Electromagnetics Society Journal, vol.33, no. 11, pp. 1259-1267, Nov. 2018.

[15] B. Mhamdi, "Microwave imaging based on two hybrid particle swarm optimization approaches," International Journal of Microwave and Wireless Technologies, vol. 11, issue 3, pp. 268-275, April 2019.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[16] A. Soares, R. Rabelo, A. Delbem, "Optimization based on phylogram analysis," Expert Systems with Applications, vol. 78, pp. 32-50, July 2017.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 40]


[17] C. Purcaru, R-E. Precup, D. Iercan, L.-O. Federovici, R.-C. David, F. Dragan, "Optimal robot path planning using gravitational search algorithm," International Journal of Artificial Intelligence, vol. 10, no: S13, pp. 1-20, March 2013.

[18] A. Naseri, S. M. H. Hasheminejad, "An unsupervised gene selection method based on multiobjective ant colony optimization," International Journal of Artificial Intelligence, vol. 17, no: 2, pp. 1-22, October 2019.

[19] M. Shams, E. Rashedi, S. M. Dashti, A. Hakimi, "Ideal gas optimization algorithm," International Journal of Artificial Intelligence, vol. 15, no. 2, pp. 116-130, October 2017.

[20] B. H. Abed-alguni, "Island-based cuckoo search with highly disruptive polynomial mutation," International Journal of Artificial Intelligence, vol. 17, no. 1, pp. 57-82, March 2019.

[21] S. Mirjalili, S. M. Mirjalili, A. Lewis, "Grey wolf optimizer," Advances in Engineering Software, vol. 69, pp. 46-61, March 2014.
[CrossRef] [Web of Science Times Cited 9852] [SCOPUS Times Cited 12721]


[22] A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, H. Chen, "Harris hawks optimization: algorithm and applications," Future Generation Computer Systems, vol. 97, pp. 849-872, August 2019.
[CrossRef] [Web of Science Times Cited 3124] [SCOPUS Times Cited 3660]


[23] P. Mei, L. Wu, H. Zhang, Z. Liu, "A hybrid multi-objective crisscross optimization for dynamic economic/emission dispatch considering plug-in electric vehicles penetration," Energies, vol. 12, issue 20, 3847, October 2019.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 17]


[24] R. Eberhart, J. Kennedy, "A new optimizer using particle swarm optimizer using particle swarm theory," in Proceedings of the Sixth International Symposium Micro Machine Human Science, 4-6 October 1995.
[CrossRef]


[25] Y. Shi, R. C. Eberhart, "Fuzzy adaptive particle swarm optimization," in Congress on Evolutionary Computation, 27-30 May 2001, pp.101-106.
[CrossRef]


[26] B. Liu, L. Wang, Y.-H. Jin, F. Tang, D.-X. Huang, "Improved particle swarm optimization combined with chaos," Chaos, Solitons & Fractals, vol. 25, issue 5, pp. 1261-1271 September 2005.
[CrossRef] [Web of Science Times Cited 713] [SCOPUS Times Cited 917]


[27] W.-N. Chen, J. Zhang, Y. Lin, N. Chen, Z.-H. Zhan, H. S.-H. Chung, Y. Li, Y.-H. Shi, "Particle swarm optimization with an aging leader and challengers," IEEE Transactions on Evolutionary Computation, vol. 17, issue:2, pp. 241-258, April 2013.
[CrossRef] [Web of Science Times Cited 451] [SCOPUS Times Cited 537]


[28] G.-G. Wang, A. H. Gandomi, X.-S. Yang, A. H. Alavi, "A novel improved accelerated particle swarm optimization algorithm for global optimization," Engineering Computations, vol. 31, issue:7, pp.1198-1220, 2014.
[CrossRef] [Web of Science Times Cited 123] [SCOPUS Times Cited 140]


[29] Q. Yang, J. Tian, W. Si, "An improved particle swarm optimization based on difference equation analysis," Journal of Differential Equation Applications, vol. 23, issue: 1-2, pp. 135-152, 2017.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]


[30] A. Bouyer, A.Hatamlou, "An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms," Applied Soft Computing, vol. 67, pp. 172-182, 2018.
[CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 76]


[31] A. Anand, L. Suganthi, "Hybrid GA-PSO optimization of artificial neural network for forecasting electricity demand," Energies, vol. 11(4), 728, 2018.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 56]


[32] E. D. Ulker, "A PSO/HS based algorithm for optimization tasks," 2017 Computing Conference SAI, pp. 117-120, 18-20 July 2017.
[CrossRef] [SCOPUS Times Cited 3]


[33] K.-P. Wang, L. Huang, C.-G. Zhou, W. Pang, "Particle swarm optimization for travelling salesman problem," in Proceedings of the 2003 International Conference on Machine Learning and Cybernetics, 5, pp. 1583-1585, November 2003.
[CrossRef] [Web of Science Times Cited 254]


[34] P. Pijarski, P. Kacejko, "Methods of simulated annealing and particle swarm applied to the optimization of reactive power flow in electric power systems," Advances in Electrical and Computer Engineering, vol. 18, number 4, pp. 43-48, 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 10]


[35] P. Nammalvar, S. Ramkumar, "Parameter improved particle swarm optimization based direct-current vector control strategy for solar PV system," Advances in Electrical and Computer Engineering, vol. 18, number 1, pp. 105-112, 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]


[36] H. Fu, Z. Li, Z. Liu, Z. Wang, "Research on big data digging of hot topics about recycled water use on micro-blog based on particle swarm optimization," Sustainability, vol. 10, issue 7, 2488, July 2018.
[CrossRef] [Web of Science Times Cited 106] [SCOPUS Times Cited 107]


[37] M. Chih, "Three pseudo-utility ratio-inspired particle swarm optimization with local search for multidimensional knapsack problem," Swarm and Evolutionary Computation, vol. 39, pp. 279-296, April 2018.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 34]


[38] T. Inan, A. F. Baba, "Particle swarm optimization based collision avoidance," Turkish Journal of Electrical Engineering and Computer Science, vol. 27, issue 3, pp. 2137-2155, 2019.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]


[39] J. Robinson, Y. Rahmat-Samii, "Particle swarm optimization in electromagnetics," IEEE Transactions Antennas and Propagation, vol. 52, issue 2, pp. 397-407, February 2004.
[CrossRef] [Web of Science Times Cited 1565] [SCOPUS Times Cited 2061]


[40] S. Ulker, "Particle swarm optimization application to microwave circuits," Microwave and Optical Technology Letters, vol. 50, no. 5, pp. 1333-1336, May 2008.
[CrossRef]


[41] S. Ulker, "Broadband microwave amplifier design using particle swarm optimization," Journal of Computers, vol. 6, no. 11, pp. 2272-2276, November 2011.
[CrossRef] [SCOPUS Times Cited 1]


[42] S. Ulker, "Design of low noise amplifiers using particle swarm optimization," International Journal of Artificial Intelligence and Applications, vol. 3, no. 4, pp.99-106, July 2012.

[43] E. D. Ulker, S.Ulker, "Application of particle swarm optimization to microwave tapered microstrip lines," Computer Science & Engineering: An International Journal (CSEIJ), vol. 4, no. 1, February 2014.

[44] I. C. Trelea, "The particle swarm optimization algorithm: convergence analysis and parameter selection," Information Processing Letters, 85, pp.317-325, 2003.
[CrossRef] [Web of Science Times Cited 1874] [SCOPUS Times Cited 2375]


[45] A. Salman, I. Ahmad, S. Al-Madani, "Particle swarm optimization for task assignment problem," Microprocessors and Microsystems 26, pp. 363-371, 2002.
[CrossRef] [Web of Science Times Cited 467] [SCOPUS Times Cited 616]


[46] Q. Lin, J. Li, Z. Du, J. Chen, Z. Ming, "A novel multi-objective particle swarm optimization with multiple search strategies," European Journal of Operational Research, vol. 247, issue 3, pp. 732-744, December 2015.
[CrossRef] [Web of Science Times Cited 199] [SCOPUS Times Cited 238]


[47] C. Ma, L. Qu, "Multiobjective optimization of switched reluctance motors based on the design of experiments and particle swarm optimization," IEEE Transactions on Energy Conversion, vol. 30, issue 3, pp. 1144-1153, September 2015.
[CrossRef] [Web of Science Times Cited 170] [SCOPUS Times Cited 185]


[48] J.-L. Duchaud, G. Notton, C. Darras, C. Voyant, "Multi-objective particle swarm optimal sizing of a renewable hybrid power plant with storage," Renewable Energy, vol. 131, pp. 1156-1167. February 2019.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 43]


[49] Y. Zhang, Q. Zhang, A. Farnoosh, S. Chen, Y. Li, "GIS-based multi-objective particle swarm optimization of charging stations for electric vehicles," Energy, vol. 169, pp. 844-853, February 2019.
[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 106]


[50] California Institute of Technology, Puff 2.1, Computer Aided Design for Microwave Integrated Circuits. Retrieved 19 November 2017 from: http://www.its.caltech.edu/~mmic/puffindex/puffE/puffE.htm

[51] Rogers Corporation, ROGERS 6006-6010 data sheet. Retrieved: 20 July 2018 from: http://www.rogerscorp.com/documents/612/index.aspx

[52] National Instruments, Vector Network Analyzer PXIe-6532. Retrieved 20 July 2018 from: https://www.ni.com/en-tr/shop/select/pxi-vector-network-analyzer



References Weight

Web of Science® Citations for all references: 19,468 TCR
SCOPUS® Citations for all references: 24,269 TCR

Web of Science® Average Citations per reference: 367 ACR
SCOPUS® Average Citations per reference: 458 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-06-11 04:23 in 282 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy