Sidelobe level optimization using modified genetic algorithm

The sidelobe level (SLL) of a linear array is optimized using modified continuous genetic algorithms (GA) in this work. The amplitude and phase of the current as well as the separation of the antennas are all taken as variables to be controlled. The results of the design using modified GA versions are compared with other methods. Two design problems were studied using several continuous modified GA versions and the results are presented as several plots. As a final example, the design specifications for an array with 200 elements is given. The effectiveness and advantages of the modified GA versions is outlined.