Abstract
Design of multi-band antenna involves multiple characteristics such as return loss in multiple operation bands. To apply MOEA/D (multi-objective evolutionary algorithm based on decomposition) to antenna structure optimization, it was introduced into this field for the first time. MOEA/D framework was demonstrated at first. Then it was in conjunction with electromagnetic solver, HFSS (high frequency structure simulator) to optimize and design tri-band bow-tie antenna to serve as an example. The evolutionary results showed that MOEA/D worked efficiently and generated multiple candidate structures at one single iteration, and that MOEA/D had lower computational overhead than NSGA-II (non-dominated sorting genetic algorithm II) for this problem. Therefore, MOEA/D shows great potential for antenna structure optimization and design.
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References
Kerkhoff, A.J., Rogers, R.L., Ling, H.: Design and Analysis of Planar Monopole Antennas Using a Genetic Algorithm Approach. IEEE Trans. Antennas Propag. 52, 2709–2718 (2004)
Mangaraj, B.B., Misra, I.S., Barisal, A.K.: Optimizing Included Angle of Symmetrical V-dipoles for Higher Directivity Using Bacteria Foraging Optimization Algorithm. Progr. Electromagn. Res. 3, 295–314 (2008)
Chamaani, S., Mirtaheri, S.A., Abrishamian, M.S.: Improvement of Time and Frequency Domain Performance of Antipodal Vivaldi Antenna Using Multi-objective Particle Swarm Optimization. IEEE Trans. Antennas Propag. 59, 1738–1742 (2011)
Kim, Y., Walton, E.K.: Automobile Conformal Antenna Design Using Non-dominated Sorting Genetic Algorithm (NSGA). IEE Proceedings: Microwaves, Antennas and Propagation, 579–582 (2006)
Zhang, Q., Li, H.: MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evol. Comput. 11, 712–731 (2007)
Li, H., Zhang, Q.: Multiobjective Optimization Problems with Complicated Pareto Sets, MOEA/D and NSGA-II. IEEE Trans. Evol. Comput. 13, 284–302 (2009)
Wang, G., Liu, J., Xia, J., Yang, L.: Coaxial-Fed Double-Sided Bow-Tie Antenna for GSM/CDMA and 3G/WLAN Communications. IEEE Trans. Antennas Propag. 56, 2739–2742 (2008)
Zhang, Y., Wang, G.: Tri-band Bow-Tie Antenna with Overlapped Arms. Microw. Opt. Tech. Lett. 52, 1539–1542 (2010)
Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution: A Practical Approach to Global Optimization, New York (2005)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6, 182–197 (2002)
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Ding, D., Wang, H., Wang, G. (2011). Evolutionary Computation of Multi-Band Antenna Using Multi-Objective Evolutionary Algorithm Based on Decomposition. In: Liu, B., Chai, C. (eds) Information Computing and Applications. ICICA 2011. Lecture Notes in Computer Science, vol 7030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25255-6_49
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DOI: https://doi.org/10.1007/978-3-642-25255-6_49
Publisher Name: Springer, Berlin, Heidelberg
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