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http://dx.doi.org/10.5370/KIEE.2013.62.11.1578

A Comparative Study on the PSO and APSO Algorithms for the Optimal Design of Planar Patch Antennas  

Kim, Koon-Tae (School of Electrical and Electronics Eng., Chung-Ang University)
Kim, Hyeong-Seok (School of Electrical and Electronics Eng., Chung-Ang University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.62, no.11, 2013 , pp. 1578-1583 More about this Journal
Abstract
In this paper, stochastic optimization algorithms of PSO (Particle Swarm Optimization) and APSO (Adaptive Particle Swam Optimization) are studied and compared. It is revealed that the APSO provides faster convergence and better search efficiency than the conventional PSO when they are adopted to find the global minimum of a two-dimensional function. The advantages of the APSO comes from the ability to control the inertia weight, and acceleration coefficients. To verify that the APSO is working better than the standard PSO, the design of a 10GHz microstrip patch as one of the elements of a high frequency array antenna is taken as a test-case and shows the optimized result with 5 iterations in the APSO and 28 iterations in th PSO.
Keywords
Optimization; Particle swarm optimization; Adaptive PSO; Precision approach radar;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 "precicsion approach radar", doopedia, http://www.doopedia.co.kr/doopedia/master/master.do? _method=view&MAS_IDX=101013000834494, 2013. 10. 28. search
2 K-T. Kim, J-H. Ko, K Choi, H-S. Kim, "Optimum Design of Wideband Bandpass Filter With CSRR-Loaded Transmission Line Using Evolution Strategy," IEEE Trans. on Magnetics, vol. 48, no. 2, pp. 811-814, 2012.   DOI   ScienceOn
3 K-T. Kim, S-H. Kwon, J-H, Ko, H-S. Kim, "An Optimal Design of a 19.05GHz High Gain 4X4 Array Antenna Using the Evolution Strategy," The Transactions of the Korean Institute of Electrical Engineers Vol. 60, No. 4, pp. 811-816, 2011.   과학기술학회마을   DOI   ScienceOn
4 S. Kahng, "Genetic algorithm-based complex images for magnetic dipoles in parallel plates," Electronics Letters , vol.39, no.8, pp. 667- 668, 17 April 2003   DOI   ScienceOn
5 S. Kahng, "GA-optimized decoupling capacitors damping the rectangular power-bus' cavity-mode resonances," IEEE Microwave and Wireless Components Letters, vol.16, no.6, pp. 375- 377, June 2006   DOI   ScienceOn
6 S. Kahng, "The Rectangular Power-Bus With Slits GA-Optimized to Damp Resonances," IEEE Transactions on Antennas and Propagation, vol.55, no.6, pp.1892-1895, June 2007.   DOI   ScienceOn
7 S. Kahng, and J. Kim, "GA Optimized S-Band Quadrafilar Antenna with the Lowest Back Radiation for a Communication Satellite", Journal of the Korean Institute of Electronic Engineering and Science, vol. 9, no. 4, pp. 223-228, 2009.   과학기술학회마을   DOI   ScienceOn
8 J-N Kim, H-B. Lee, C-Y. Cheon, H-S. Kim, H-K. Jung, S-Y. Hahn, "A Study on Numerical Design Schemes of Waveguide Component Using Vector Finite Element Method," The Transactions of the Korean Institute of Electrical Engineers, Vol. 44, No. 9, pp. 1219-1227, 1995.
9 J. Robinson, Y. Rahmat-Sami, "Particle Swarm Optimization in Electromagnetics," IEEE Trans. on Antenna and Propagation, vol. 52, no. 2, pp. 397-407, Feb. 2004.   DOI   ScienceOn
10 M. S. Mohamad, S. Omatu, S. Deris, M. Yoshioka, "A Modified Binary Particle Swarm Optimization for Selecting the Small Subset of Imformative Genes From Gene Expression Data," IEEE Trans. on Information Technology in Biomedicine, vol. 15, no. 6, pp. 813-822, Nov. 2011.   DOI   ScienceOn
11 N. Jin, Y. Rahmat-Samii, "Hybrid Real-Binary Particle Swarm Optimization (HPSO) in Engineering Electromagnetics," IEEE Trans. on Antenna and Propagation, vol. 58, No. 12, pp. 3789-3794, Dec. 2010.
12 Po-Hung Chen, "Pumped-Storage Scheduling Using Evolutionary Particle Swarm Optimization," IEEE Trans. on Energy Conversion, vol. 23, No. 1, pp. 294-301, Mar. 2008.   DOI   ScienceOn
13 T. O. Ting, M. V. C. Rao, C. K. Loo, "A Novel Approach for Unit Commitment Problem via an Effective Hybrid Particle Swarm Optimization," IEEE Trans. on Energy Conversion, vol. 23, No. 1, pp. 294-301, Feb. 2006.
14 S-Y. Ho, H-S. Lin, W-H. Liauh, S-J. Ho, "OPSO: Orthogonal Particle Swarm Optimization and Its Application to Task Assignment Problems," IEEE Trans. on System, Man, and Cybernetics Part A, vol. 38, No. 2, pp. 288-298, Mar. 2008.   DOI   ScienceOn
15 F. Tao, D. Zhao, Y. Hu, Z. Zhou, "Resource Service Compusition and Its Optimal-Selection Based on Particle Swarm Optimization in Manufacturing Grid System," IEEE Trans. on Industrial Informatics, vol. 4, No. 4, pp. 315-327, Nov. 2008.   DOI   ScienceOn
16 Z-H Zhan, J. Zhang, Y. Li, H. S-H. Chung, "Adaptive Particle Swarm Optimization," IEEE Trans. on System, Man, and Cybernetics Part B, vol. 39, No. 6, pp. 1362-1381, Dec. 2009.   DOI   ScienceOn