An Improved Genetic Algorithm Applied in Pattern Synthesis of Ultra-low Sidelobe Linear Array Antenna

An improved genetic algorithm is presented.There are no repeated operations of crossover and mutation for each individual in the same generation.And the elite reservation strategy is put after the operations of crossover and mutation respectively.The adaptive technology is also improved.Then the algorithm is applied to the pattern synthesis of ultra-low sidelobe linear array antennas in this paper.The amplitudes of the currents of the elements and the distances between elements are taken as variables for optimization.Several examples are given respectively,which have different number and spacing of the antennas.Results show the sidelobe levels can reach below-40dB by using our methods,which outweighs the results shown by some related literatures.