Linear Antenna Synthesis with a Fuzzy Genetic Algorithm

In this paper we present a new method for the synthesis of the amplitude radiation pattern of a linear antenna array based on fuzzy genetic algorithms (FGAs) by optimizing complex excitation coefficients to best meet a desired radiation patterns. The design of a fuzzy controller depending on population diversity measurements (PDM) is also presented, to adjust dynamically crossover and mutation probabilities to maintain the proper diversity during GA's operation. The presented optimization algorithms were previously checked on specific mathematical test function and show their superior capabilities with respect to the standard version (standard genetic algorithms). Included examples demonstrate the best performances obtained while implementing fuzzy genetic algorithms (FGAs).