The invention discloses a multi-objective optimization array 
pattern synthesis method based on an improved 
genetic algorithm, and belongs to the field of 
antenna array pattern synthesis. According to the method, the 
genetic algorithm is improved and optimized, and in order to avoid 
local convergence and prevent close-to-close combination, the 
Hamming distance is introduced to carry out close-to-close discrimination; in order to improve the convergence speed and ensure that an excellent mode in a 
parent body can be inherited to the next generation, the size of a 
crossover operator is adaptively determined according to the fitness. According to the method, a mutual 
coupling effect between array elements is considered, an active unit directional diagram is combined, an accurate 
antenna array model is constructed, different 
fitness function parameters are set for different 
target array directional diagrams, and an improved 
genetic algorithm is used for performing multi-target rapid optimization on the 
antenna array directional diagrams; finally, array synthesis such as 
beam broadening, low sidelobe, beam null, 
phased array scanning and the like is realized, and 
verification is carried out through full-wave 
electromagnetic simulation software.