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.