Vol. 60

Front:[PDF file] Back:[PDF file]
Latest Volume
All Volumes
All Issues
2015-12-16

Genetical Swarm Optimizer for Synthesis of Multibeam Linear Antenna Arrays

By Hichem Chaker
Progress In Electromagnetics Research C, Vol. 60, 137-146, 2015
doi:10.2528/PIERC15110206

Abstract

The paper presents a hybrid evolutionary algorithm suitable for the optimization of large-domain electromagnetic problems. The hybrid technique, called Genetical Swarm Optimization (GSO), combines Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). GSO algorithm is modelled on the concepts of Darwin's theory based on natural selection and evolution, and on cultural and social rules derived from the swarm intelligence. The problem is formulated and solved by means of the proposed algorithm. The examples are simulated to demonstrate the effectiveness and design flexibility of GSO in the framework of synthesis of multi-beam linear antennas arrays.

Citation


Hichem Chaker, "Genetical Swarm Optimizer for Synthesis of Multibeam Linear Antenna Arrays," Progress In Electromagnetics Research C, Vol. 60, 137-146, 2015.
doi:10.2528/PIERC15110206
http://www.jpier.org/PIERC/pier.php?paper=15110206

References


    1. Ghayoula, R., M. Traii, and A. Gharsallah, "Application of the neural network to the synthesis of multibeam antennas arrays," IEEE Transactions on Engineering, Computing and Technology, Vol. 14, No. 1, 270-273, August 2006.

    2. Panduro, M. A. and C. del Rio-Bocio, "Design of beam-forming networks for scannable multi-beam antenna arrays using corps," Progress In Electromagnetics Research, Vol. 84, 173-188, 2008.
    doi:10.2528/PIER08070403

    3. Eiben, A. E. and J. Smith, Introduction to Evolutionary Computing, Springer, 2003.
    doi:10.1007/978-3-662-05094-1_10

    4. Ares-Pena, F. J., J. A. Rodriguez-Gonzalez, E. Villanueva-Lopez, and S. R. Rengarajan, "Genetic algorithms in the design and optimization of antenna array patterns," IEEE Trans. Antennas Propagation, Vol. 47, No. 3, 506-510, 1999.
    doi:10.1109/8.768786

    5. Panduro, M. A., C. A. Brizuela, L. I. Balderas, and D. A. Acosta, "A comparison of genetic algorithms, particle swarm optimization and the differential evolution method for the design of scannable circular antenna arrays," Progress In Electromagnetics Research B, Vol. 13, 171-186, 2009.
    doi:10.2528/PIERB09011308

    6. Torn, A. and A. Zilinskas, Global Optimization, Vol. 350, Springer-Verlag, 1989.
    doi:10.1007/3-540-50871-6

    7. Akdagli, A. and K. Guney, "Shaped-beam pattern synthesis of equally and unequally spaced linear antenna arrays using a modified tabu search algorithm," Microwave and Optical Technology Letters, Vol. 36, No. 1, 16-20, January 2003.
    doi:10.1002/mop.10657

    8. Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.

    9. Rahmat-Samii, Y. and E. Michielssen, Electromagnetic Optimization by Genetic Algorithms, Wiley, 1999.

    10. Panduro, M. A. and D. R. Carlos, "Design of beam-forming networks using corps and evolutionary optimization," International Journal of Electronics and Communications AEUE Elsevier, Vol. 63, No. 5, 353-365, 2009.
    doi:10.1016/j.aeue.2008.02.009

    11. Arabas, J., Z. Michalewicz, and J. Mulawka, "GA vs PS - A genetic algorithm with varying population size," IEEE International Conference on Evolutionary Computation, 73-78, 1994.

    12. Tanese, R., "Distributed genetic algorithm," International Conference on Genetic Algorithms, 434-439, 1989.

    13. Haupt, R., "Thinned arrays using genetic algorithms," IEEE Trans. Antennas Propagation, Vol. 42, No. 7, 993-999, 1994.
    doi:10.1109/8.299602

    14. Panduro, M. A., "Design of coherently radiating structures in a linear array geometry using genetic algorithms," International Journal of Electronics and Communications AEUE Elsevier, Vol. 61, No. 8, 515-520, 2007.
    doi:10.1016/j.aeue.2006.09.002

    15. Mussetta, M., N. Bliznyuk, P. Pirinoli, N. Engheta, and R. E. Zich, "Application of genetic algorithms for optimization of a FSS reflectarray antenna," The 10th International Conference on Mathematical Methods in Electromagnetic Theory, 522-524, September 2004.

    16. Kennedy, J., "The particle swarm: social adaptation of knowledge," IEEE International Conference on Evolutionary Computation, 303-308, April 1997.

    17. Eberhart, R. and Y. Shi, "Particle swarm optimization: Developments, applications and resources," IEEE International Conference on Evolutionary Computation, 81-86, May 2001.

    18. Nicolis, G. and I. Prigogine, Self-organization in No Equilibrium Systems: From Dissipative Systems to Order through Fluctuations, John Wiley, 1977.

    19. Xie, X., W. Zhang, and Z. Yang, "Adaptive particle swarm optimization on individual level," International Conference on Signal Processing, 1215-1218, Beijing, 2002.

    20. Boeringer, D. W. and D. H. Werner, "Particle swarm optimization versus genetic algorithms for phased array synthesis," IEEE Trans. Antennas Propagation, Vol. 52, No. 3, 771-779, March 2004.
    doi:10.1109/TAP.2004.825102

    21. Robinson, J., S. Sinton, and Y. Rahmat-Samii, "Particle swarm, genetic algorithm, and their hybrids: Optimization of a profiled corrugated horn antenna," IEEE International Symposium on Antennas and Propagation, Vol. 1, 314-317, June 2002.
    doi:10.1109/APS.2002.1016311

    22. Juang, C., "A hybrid of genetic algorithm and particle swarm optimization for recurrent network design," IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 34, No. 2, 997-1006, April 2004.
    doi:10.1109/TSMCB.2003.818557