Particle swarm optimization method for chaotic perturbation and adaptive inertia weight

The invention belongs to the technical field of wireless communication, and discloses a particle swarm optimization method for the chaotic perturbation and adaptive inertia weight. The particle swarmoptimization method comprises the steps of performing popularization initialization; randomly generating the position X and velocity V of each particle; calculating fitness values of all particles atpresent by using a fitness function fitness, and initializing a locally optimal solution pbest of each particle and a globally optimal solution gbest of the population; sorting all of the particles and performing a chaotic perturbation operation; and carrying out an iterative operation based on the adaptive inertia weight. The chaotic perturbation operation of the invention expands the searching range of the particles, then the fitness values before and after the perturbation are compared, and the optimal part is selected to enter the next step, so that the convergence speed of the algorithm is improved. The adaptive i