A multipoint source space arraying method based on sine chaotic mapping whale optimization algorithm

Aiming at the spatial array optimization problem of multi-point source system, this paper proposes a multi-point source spatial array method based on sine chaotic map whale optimization algorithm (SWOA). Based on the whale optimization algorithm, this method solves the multi-point source spatial array model constructed according to the distribution characteristics of the equivalent radiation center of any triangular triplet antenna. The simulation results show that the equilateral triangle array can maximize the distribution area of the equivalent radiation center. Moreover, compared with the five classical algorithms, SWOA has an average increase of 43.92 % in convergence speed and an average increase of 87.59 % in stability, which is significantly better than the comparison algorithm.