The invention discloses a method for improving a
genetic algorithm based on
liquid crystal optical
phased array rarefaction, which comprises the following steps of: firstly, constructing a
liquid crystal optical
phased array physical model, then setting optimization parameters and fitness functions of the
genetic algorithm according to array characteristics, obtaining a far-field directional diagram by utilizing space
fast Fourier transform, and screening the fitness functions to obtain a far-field directional diagram; and performing coding, crossing, variation, inheritance, decoding and array
population updating operation on the array
population after the
fitness function screening, and finally obtaining a final optimization result according to iteration stopping conditions. According to the method, through the improved
genetic algorithm applied to the
liquid crystal optical
phased array, the number of control units of the phased array with the same aperture is reduced, under the condition that the total number of the control units is limited, the size, the weight and the complexity of a
system are not changed, the larger aperture of the liquid
crystal optical phased array can be achieved, and the method has a good application prospect for
grating lobe suppression of the liquid
crystal optical phased array. The number of control units is reduced, the aperture is increased, and an
algorithm which is high in efficiency and easy to implement is provided.