1. Goldberg, D. E., "Genetic Algorithms in Search, Optimization and Machine Learning," Addison-Wiley, 1989.        Google Scholar

2. Kennedy, J. and R. C. Eberhart, Swarm Intelligence, Morgan Kaufmann, San Francisco, CA, 2001.

3. Dorigo, M., V. Maniezzo, and A. Colorni, "The ant system: Optimization by a colony of cooperating agents," IEEE Trans. Syst., Man., Cybern. B, Vol. 26, No. 2, 29-41, 1996.
doi:10.1109/3477.484436        Google Scholar

4. Selleri, S., M. Mussetta, P. Pirinoli, R. E. Zich, and M. Matekovits, Differentiated Meta-PSO method for array optimization, Vol. 56, No. 1, 67-75, IEEE Trans. Antennas Prop., Jan. 2008.

5. Ong, Y. S. and A. J. Kean, "Meta-Lamarckian learning in memetic algorithms," IEEE Trans. Evol. Comput., Vol. 8, No. 2, 99-110, Apr. 2004.
doi:10.1109/TEVC.2003.819944        Google Scholar

6. Basak, A., S. Pal, S. Das, A. Abraham, and V. Snasel, "A modified invasive weed optimization algorithm for time-modulated linear antenna array synthesis," Proc. of IEEE Congress on Evol. Comput. (CEC), 1-8, Barcelona, Spain, Jul. 18-23, 2010.        Google Scholar

7. Simon, D., "Biogeography-based optimization," IEEE Trans. Evol. Comput., Vol. 12, No. 6, 702-713, Dec. 2008.
doi:10.1109/TEVC.2008.919004        Google Scholar

8. Grimaccia, F., M. Mussetta, and R. E. Zich, "Genetic swarm optimization: Self adaptive hybrid evolutionary algorithm for electromagnetics," IEEE Trans. Antennas Prop., Vol. 55, No. 3, 781-785, Mar. 2007.
doi:10.1109/TAP.2007.891561        Google Scholar

9. Lee, Y. H., B. J. Cahill, S. J. Porter, and A. C. Marvin, "Novel evolutionary learning technique for multi-objective array antenna optimization," Progress In Electromagnetics Research, Vol. 48, 125-144, 2004.
doi:10.2528/PIER04012202        Google Scholar

10. Perez-Lopez, J. R. and J. Basterrechea, "Hybrid particle swarm-based algorithms and their application to linear array synthesis," Progress In Electromagnetics Research, Vol. 90, 63-74, 2009.
doi:10.2528/PIER08122212        Google Scholar

11. MÄuhlenbein, H. and G. Paab, "From recombination of genes to the estimation of distributions. I. Binary parameters," Parallel Problem Solving from Nature, Vol. 1141, 178-187, 1996.        Google Scholar

12. Pelikan, M., D. E. Goldberg, and E. Cant-Paz, "BOA: The Bayesian optimization algorithm," Proc. of Genetics and Evol. Comput. Conf., GECCO-99, 525-532, Orlando, Florida, USA, Jul. 13-17, 1999.        Google Scholar

13. Pelikan, M., Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms, Springer, 2005.

14. Ha, B. V., M. Mussetta, P. Pirinoli, and R. E. Zich, "Modified Bayesian optimization algorithm for microstrip filter design," Proc. of IEEE AP-S 2012 Conf., 1-2, Chicago, Illinois, USA, Jul. 8-14, 2012.        Google Scholar

15. Yan, K. K. and Y. Lu, "Sidelobe reduction in array-pattern synthesis using genetic algorithm," IEEE Trans. Antennas Prop., Vol. 45, No. 7, 1117-1122, Jul. 1997.        Google Scholar

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

17. Donelli, M., S. Caorsi, F. D. Natale, G. Franceschini, and A. Massa, "A versatile enhanced genetic algorithm for planar array design," Journal of Electromagnetic Waves and Applications, Vol. 18, No. 11, 1533-1548, 2004.
doi:10.1163/1569393042954893        Google Scholar

18. Boeringer, D. W., D. H. Werner, and D. W. Machuga, "A simultaneous parameter adaptation scheme for genetic algorithms with application to phased array synthesis," IEEE Trans. Antennas Prop., Vol. 53, No. 1, 356-371, Jan. 2005.
doi:10.1109/TAP.2004.838800        Google Scholar

19. Khodier, M. M. and C. G. Christodoulou, "Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization," IEEE Trans. Antennas Prop., Vol. 53, No. 8, 2674-2679, Aug. 2005.
doi:10.1109/TAP.2005.851762        Google Scholar

20. Donelli, M., R. Azaro, L. Fimognari, and A. Massa, "A planar electronically reconfigurable Wi-Fi band antenna based on parasitic microstrip structures," IEEE Antennas and Wireless Prop. Letters, Vol. 6, 623-626, 2007.
doi:10.1109/LAWP.2007.913274        Google Scholar

21. Gies, D. and Y. Rahmat-Samii, "Particle swarm optimization for reconfigurable phase-differentiated array design," Microw. Opt. Tech. Lett., Vol. 38, No. 3, 168-175, Aug. 2003.
doi:10.1002/mop.11005        Google Scholar

22. Chung, W. W., F. Yang, and A. Z. Elsherbeni, "Linear antenna array synthesis using Taguchi's method: A novel optimization technique in electromagnetics," IEEE Trans. Antennas Prop., Vol. 55, No. 3, 723-730, Mar. 2007.
doi:10.1109/TAP.2007.891548        Google Scholar

23. Liu, Y., Z. Nie, and Q. H. Liu, "Reducing the number of elements in a linear antenna array by the matrix pencil method," IEEE Trans. Antennas Prop., Vol. 56, No. 9, 2955-2962, 2008.
doi:10.1109/TAP.2008.928801        Google Scholar

24. Liu, Y., Q. H. Liu, and Z. Nie, "Reducing the number of elements in the synthesis of shaped-beam patterns by forward-backward matrix pencil method," IEEE Trans. Antennas Prop., Vol. 58, No. 2, 604-608, Feb. 2010.
doi:10.1109/TAP.2009.2037709        Google Scholar

25. Zhang, W., L. Li, and F. Li, "Reducing the number of elements in linear and planar antenna arrays with sparseness constrained optimization," IEEE Trans. Antennas Prop., Vol. 59, No. 8, 3106-3111, Aug. 2011.
doi:10.1109/TAP.2011.2158943        Google Scholar

26. Chan, C.-Y. and P. M. Goggans, "Using bayesian inference for linear antenna array design," IEEE Trans. Antennas Prop., Vol. 59, No. 9, 3211-3217, Sep. 2011.
doi:10.1109/TAP.2011.2161437        Google Scholar

27. Pearl, J., "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference," Morgan Kaufmann, 1988.        Google Scholar

28. Heckerman, D., D. Geiger, and D. M. Chickering, "Learning Bayesian networks: The combination of knowledge and statistical data,", Technical Report MSR-TR-94-09, Microsoft Research, Redmond, WA, 1994.        Google Scholar

29. Baluja, S., "Population based incremental learning: A method or integrating genetic search based function optimization and competitive learning,", Technical Report No. CMUCS-94-163, Carnegie Mellon University, Pittsburgh, PA, 1994.        Google Scholar

30. Harik, , G. R., F. G. Lobo, and D. E. Goldberg, "The compact genetic algorithm," IEEE Trans. Evol. Comput., Vol. 3, No. 4, 287-297, Nov. 1999.
doi:10.1109/4235.797971        Google Scholar