Title :
Coupling of ANNN with GA for effective optimization of dimensions of rectangular patch antenna on thick substrate microstrip patch antenna on thick substrate
Author :
Panda, Dhmba C. ; Pattnaik, Shyam S. ; Khuntia, Bonomali ; Neog, Dipak K. ; Devi, S.
Author_Institution :
NERIST, India
fDate :
Oct. 28 2003-Nov. 1 2003
Abstract :
A novel method of optimization by coupling the genetic algorithm (GA) and artificial neural network (ANN) is presented in this paper. A trained artificial neural network is taken as objective function in GA for optimization. By utilizing this technique the optimized dimensions of patch antenna on thick substrate has been calculated. It is seen that the results obtained by this method are closer to experimental value compared to earlier results obtained by curve fitting method. To validate this, the results are compared with experimental values for five fabricated antenna. The results are in very good agreement with experimental findings.
Keywords :
electrical engineering computing; genetic algorithms; microstrip antennas; neural nets; artificial neural network; fabricated antenna; genetic algorithm; rectangular patch antenna; thick substrate microstrip patch antenna; Artificial neural networks; Biological cells; Educational institutions; Genetic algorithms; Genetic mutations; Microstrip antennas; Optimization methods; Parallel architectures; Patch antennas; Resonant frequency;
Conference_Titel :
Antennas, Propagation and EM Theory, 2003. Proceedings. 2003 6th International SYmposium on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-7831-8
DOI :
10.1109/ISAPE.2003.1276788
