Two-dimensional array antenna directional pattern optimization method based on genetic simulated annealing algorithm

The genetic simulated annealing algorithm is suitable for optimization problems in complex multidimensional space because of its strong global search capability and the fact that it does not easily fall into local optimal solutions. The simulation results show that the genetic simulated annealing algorithm can effectively improve the pattern optimization performance and reduce the computing time compared with the standard genetic algorithm.