Genetic algorithm operators effect in optimizing the antenna array pattern synthesis

This paper demonstrates the genetic algorithms (GA's) operators for providing optimal solution with minimum runtime in the pattern synthesis problem for an antenna array. Dolf-Chebyshev is considered to be the target pattern. Generation number importance in avoiding extra or infinite loops is clarified. A comparison between the effect of different selection strategies, crossover and mutation methods in reaching the final solution is shown. Finally the role of each operator in reaching the optimal solution is illustrated.