Abstract
In this paper we are going to investigate the properties of Informative Differential Evolution with Self Adaptive Re-clustering technique (IDE_SR) algorithm on the problems of electromagnetic domain. Problems of electromagnetism domain generally exhibit multimodal characteristic as well as the high dimensionality and non-smooth attributes. IDE_SR is a modified Differential Evolution (DE) to overcome the problems of multimodality and complexity of the problem under consideration. In this paper we describe the salient features of IDE_SR and compare the result with other state-of-art algorithms.
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Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, Piscataway, NJ, pp. 1942–1948 (1995)
Passino, K.M.: Biomimicry of Bacterial Foraging for Distributed Optimization and Control. IEEE Control Systems Magazine 22, 52–67 (2002)
Dorigo, M., Stützle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)
Karaboga, D.: An Idea Based on Honey Bee Swarm for Numerical Optimization, technical REPORT-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department (2005)
Farmer, J.D., Packard, N., Perelson, A.: The Immune System, Adaptation and Machine Learning. Physica D 22, 187–204 (1986)
Holland, J.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)
Aihara, A., Takabe, T., Typoda, M.: Chaotic neural networks. Phys. Lett. A 144, 333–340 (1990)
Chen, X.S., Ong, Y.S., Lim, M.H., Tan, K.C.: A Multi-Facet Survey on Memetic Computation. IEEE Transactions on Evolutionary Computation 15(5), 591–607 (2011)
Storn, R., Price, K.V.: Differential Evolution-A simple and efficient Heuristic for Global Optimization over continuous Spaces. Journal of Global Optimization 11, 341–359 (1997)
Ilonen, J., Kamarainen, J.K., Lampinen, J.: Differential Evolution Training Algorithm for Feed-Forward Neural Networks. Neural Processing Letters 7, 93–105 (2003)
Storn, R.: Differential evolution design of an IIR-filter. In: Proceedings of IEEE Int. Conference on Evolutionary Computation, ICEC 1996, pp. 268–273. IEEE Press, New York (1996)
Boeringer, D.W., Werner, D.H.: Particle swarm optimization versus genetic algorithms for phased array synthesis. IEEE Transactions on Antennas and Propagation 52(3), 771–778 (2004)
Khodier, M.M., Eberhart, R.C.: Linear Array Geometry Synthesis with Minimum Sidelobe Level and Null Control Using Particle Swarm Optimization. IEEE Transactions on Antennas and Propagation 53(8), 2674–2679 (2005)
Mallahzadeh, A.R., Eshaghi, S., Alipour, A.: Design of an E-shaped MIMO antenna using IWO algorithm for wireless application at 5.8 GHz. Progress In Electromagnetics Research 90, 187–203 (2009)
Jain, R., Mani, G.S.: Dynamic thinning of antenna array using genetic algorithm. Progress In Electromagnetics Research B 32, 1–20 (2011)
Maity, D., Halder, U., Dasgupta, P.: An Informative Differential Evolution with Self Adaptive Re-clustering Technique. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds.) SEMCCO 2011, Part I. LNCS, vol. 7076, pp. 27–34. Springer, Heidelberg (2011)
Maity, D., Halder, U., Das, S., Vailakos, A.V.: An Informative Differential Evolution Algorithm With Self Adaptive Re-Clustering Technique for the Optimization of Phased Antenna Array. Progress In Electromagnetics Research B 40, 361–380 (2012)
Karimkashi, S., Kishk, A.A.: Invasive Weed Optimization and its Features in Electromagnetics. IEEE Transactions on Antennas and Propagation 58(4), 1269–1278 (2010)
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Maity, D., Halder, U., Chaudhuri, S.S. (2012). Performance of Informative Differential Evolution Algorithm with Self Adaptive Re-clustering Technique on the Problems of Electromagnetism –The Linear Array Antenna Synthesis. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_22
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DOI: https://doi.org/10.1007/978-3-642-35380-2_22
Publisher Name: Springer, Berlin, Heidelberg
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