Optimum Design of Thin Wideband Multilayer Electromagnetic Shield Using Evolutionary Algorithms
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Abstract
This paper describes the method of optimum design of multilayer perforated electromagnetic shield using Evolutionary algorithms, namely Particle Swarm Optimization Algorithm (PSO) and Genetic Algorithm (GA). Different parameters which are inherently conflicting in nature corresponds to the multilayer structure of the electromagnetic shields have been considered. The goal is to minimize the overall mass of the shield with respect to its shielding effectiveness and cost. Three different models are considered and synthesized using evolutionary algorithms. Numerical optimal results for each model using different algorithms are presented and compared with each other to establish the effectiveness of the proposed method of designing.
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References
Hemming, L. H., Architectural Electromagnetic Shielding Hand book: A Design and Specification Guide, New York, USA: IEEE Press, 1992.
Chung, D. D. L, Materials for Electromagnetic Interference Shielding, Journal of Materials Engineering and performance, Vol. 9(3), 350–354, June 2000.
Kieser, Bernhard, Principle of Electromagnetic compatibility, Artech House, 1987.
Saliovich, A. B., Electromagnetic Shielding Handbook for Wired and Wireless Emc Applications, Kluwer Academic Pub, 1999.
Kaiser, K. L., Electromagnetic Shielding, Taylor & Francis, 2005.
Mottahed, B. D. and Manoochehri, S, Joint design methodology based on the electromagnetic shielding effectiveness capabilities, IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part B, Vol. 19,No. 1, 238–247, Feb 1996.
Colotti, J., EMC Design Fundamentals , Systems, Applications and Technology Conference, 2006. LISAT 2006. IEEE Long Island, NY, pp. 1-2, 2006.
Schulz R. B., Plantz, V. C. and Brush, D. R., Shielding theory and practice, IEEE Transactions on Electromagnetic Compatibility, Vol. 30, No. 3, 187–201, Aug 1988.
Biswas, S., Rakshit, P., Dey, T. K., Design of wire mesh shield-an analytical approach and testing of its performance, Electro Magnetic Interference and Compatibility (INCEMIC), 2006 Proceedings of the 9th International Conference on, Bangalore, 132– 137, 2006.
Antonini, G. and Orlandi, A., Optimal electromagnetic shielding design considering multiple constraints, Electromagnetic Compatibility, 2000. IEEE International Symposium, Vol. 2, 711–716, Washington DC, 2000.
Ziolkowski, M. and Gratkowski, S. R., Genetic Algorithm and Bezier Curves-Based Shape Optimization of Conducting Shields for Low-Frequency Magnetic Fields,IEEE Transactions on Magnetics, Vol. 44, No. 06, June 2008.
Kennedy, J. and Eberhart, R. C., Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks, Piscataway, NJ., 1942– 1948, 1995.
Boeringer, D. W. and Werner, D. H., Particle swarm optimization versus genetic algorithms for phased array synthesis, IEEE Trans. Antennas Propagat., Vol. 52, 771–779, 2004.
Haupt, R. L., Introduction to genetic algorithms for electromagnetics, IEEE Antennas and Propagation Magazine, Vol. 37, No. 2, 7–15, 1995.
Jain, R. and Mani, G. S., Solving Antenna Array Thinning Problem Using Genetic Algorithm, Applied Computational Intelligence and Soft Computing, Vol. 2012, pp.14, 2012.
Man, K., Tang, K. and Kwong, S., Genetic algorithms: concepts and applications [in engineering design], Industrial Electronics, IEEE Transactions on, vol. 43, no. 5, pp. 519-534, Oct 1996.
Marcano, D. and Duran, F., Synthesis of antenna arrays using genetic algorithms, Antennas and Propagation Magazine, IEEE, vol. 42, no. 3, pp. 12-20, Jun 2000.
Mandal, D., Kola, K. S. and Bhattacharjee, A., Sidelobe Reduction of a Scanned Circular Array using Particle Swarm Optimization Algorithm,International Journal of Recent Trends in Electrical and Electronics Engg.,vol. 3, no. 1, pp. 54-61, Dec. 2013.