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N. K. Saxena, A. Khan, P. K. S. Pourush and N. Kumar, “Neural Network Analysis of Switchability of Microstrip Rectangular Patch Antenna Printed on Ferrite Material,” International Journal of Radio Frequency and Microwave Computer-Aided Engineering, Vol. 20, No. 1, 2010, pp. 1-5.

has been cited by the following article:

• TITLE: Application of Genetic Algorithm for Optimization of Important Parameters of Magnetically Biased Microstrip Circular Patch Antenna

  AUTHORS: Naveen Kumar Saxena, Mohd Ayub Khan, Nitendar Kumar, Pradeep K. S. Pourush

  KEYWORDS: Cavity Method, Circular Ferrite Microstrip Antenna, Genetic Algorithm, Magnetically Biased

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.4 No.2, February 28, 2011

  ABSTRACT: The application of Genetic Algorithm (GA) to the optimization of important parameters (Directivity, Radiated Power, Impedance etc.) of magnetically biased microstrip antenna, fabricated on ferrite substrate, is reported. The fitness functions for the GA program have been developed using cavity method for the analysis of microstrip antenna. The effect of external magnetic biasing has also been incorporated in the fitness function formulation as effective propagation constant. Using stochastic based search method of GA the common characteristics of electro-magnetic were entertained which cannot be handled by other optimization techniques. The genetic algorithm was run for 500 generations. The computed results are in good agreement with the results obtained experimentally.