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Analysing the shielding effectiveness of rectangular enclosure by determining aperture dimensions with particle swarm optimization

   | 11 juil. 2022
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[1] S. Güler and S. Yenikaya, “Analysis of shielding effectiveness by optimizing aperture dimensions of a rectangular enclosure with genetic algorithm”, Turkish Journal of Electrical Engineering & Computer Sciences, 29(2): 1015-1028. doi:10.3906/elk-2005-113, 2021. Open DOISearch in Google Scholar

[2] M. P. Robinson, T. M. Benson, C. Christopoulos, J. F. Dawson, M. D. Ganley et al, “Analytical formulation for the shielding effectiveness of enclosures with apertures”, IEEE Transactions on Electromagnetic Compatibility, 40(3): 240-48. doi:10.1109/15. 709422. Open DOISearch in Google Scholar

[3] S. Güler, S. Yenikaya, and G. Yilmaz, “Shielding effectiveness analysis of electronic equipment protection box”, Uluda University Journal of The Faculty of Engineering, 25(3): 1445-1458. doi:10.17482/uumfd.749570, 2020. Open DOISearch in Google Scholar

[4] M. Y. Özsaglam and M. Çukaş, “Particle swarm optimization algorithm for solving optimization problems”, Journal of Polytechnic, 11 (4): 299-305, 2008. Search in Google Scholar

[5] F. D. Wihartiko, H. Wijayanti, and F. Virgantari, “Performance comparison of genetic algorithms and particle swarm optimization for model integer programming bus timetabling problem”, IOP Conf. Series: Materials Science and Engineering,. doi:10.1088/1757-899X/332/1/01, 2020. Open DOISearch in Google Scholar

[6] S. Shabir and R. Singla, “A comparative study of genetic algorithm and the particle swarm optimization”, International Journal of Electrical Engineering, 9(2): 215-223, 2016. Search in Google Scholar

[7] I. Y. Sagalianov, L. L. Vovchenko, L. Y. Matzui, V. V. Oliynyk, and O. V. Lozitsky, et al, “A genetic algorithm approach”, Material Science & Engineering Technology, 47: 263-271, doi:10.1002/mawe.00483, 2016. Open DOISearch in Google Scholar

[8] P. Guo, X. Wang, and Y. Han, “The enhanced genetic algorithms for the optimization design”, 3th International Conference on Biomedical Engineering and Informatics, doi:10.1109/BMEI. 5639829, 2010. Open DOISearch in Google Scholar

[9] J. Lv and X. Shi, “Particle swarm optimization algorithm based on factor selection startegy”, 4th Advanced Information Technology, Electronic and Automation Control Conference, (IAEAC). doi:10.1109/IAEAC47372.2019.8997677, 2020. Open DOISearch in Google Scholar

[10] S. I. Evangeline and P. Rathika, “Particle swarm optimization algorithm for optimal power flow incorporating wind farms”,. IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, (INCOS). doi:10.1109/INCOS45849..8951385, 2019. Open DOISearch in Google Scholar

[11] T. M. Ilgar, M. Bulut, and B. Saka, “Shielding effectiveness for metallic enclosures with various aperture shapes”, URSI Atlantic Radio Science Conference, (URSI AT-RASC). doi:10.1109/URSI-AT-RASC..7303047, 2015. Open DOISearch in Google Scholar

[12] L. Yan, M. Fang, X. Zhao, Q. Liu, and H. Zhou, “Shielding effectiveness prediction of metallic structures with thin slots using FDTD”, IEEE International Symposium on Electromagnetic Compatibility and IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, (EMC/APEMC), doi:10.1109/ISEMC.8393798, 2018. Open DOISearch in Google Scholar

[13] S. Yenikaya, “Hybrid MoM/FEM modelling of shielding effectiveness of loaded rectangular enclosures with apertures”, IEEE International Symposium on Electromagnetic Compatibility, 61-65. doi:10.1109/ISEMC..5284691, 2009. Open DOISearch in Google Scholar

[14] H. Gargama, S. K. Chaturvedi, and A. K. Thakur, “Design and optimization multilayered electromagnetic shield using a real-coded genetic algorithm”, Progress In Electromagnetic Research B, 39: 241-266, 2012.10.2528/PIERB12011902 Search in Google Scholar

[15] J. Tewary, D. Mandal, K. S. Kola, and P. R. V., “Optimum design of bi-layer perforated electromagnetic shield using improved particle swarm optimization algorithm”, Journal of Electrical and Electronics Engineering (JEEE), 11(3): 2320-3331. doi:10.9790/1676, 2016. Open DOISearch in Google Scholar

[16] Z. Zhu, X. Liu, W. Yan, Y. Zhao, and W. Bai, “Research on shielding effectiveness of switched-mode power supply based on particle swarm optimization algorithm. IEEE 1st”, International Power Electronics and Application Symposium, (PEAS). doi:10.1109/PEAS53589..9628663, 2021. Open DOISearch in Google Scholar

[17] E. V. Onet, “Particle swarm optimization and genetic algorithm”, Journal of Computer Science & Control Systems, 2(2): 43-46, 2009. Search in Google Scholar

[18] S. K. Rathore and P. M. Mishra, “A comparative study of genetic algorithm and particle swarm optimization in context of plant optimization”, International Journal of Science and Research (IJSR), 8(5): 925-931. doi:10.21275/ART4614, 2019. Open DOISearch in Google Scholar

[19] L. Yan, M. Fang, X. Zhao, Q. Liu, and H. Zhou, “Shielding effectiveness prediction of metallic structures with thin slots using FDTD”, IEEE International Symposium on Electromagnetic Compatibility and IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, (EMC/APEMC), doi:10.1109/ISEMC.8393798, 2018. Open DOISearch in Google Scholar

eISSN:
1339-309X
Langue:
Anglais
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6 fois par an
Sujets de la revue:
Engineering, Introductions and Overviews, other