Abstract: In this paper, based on adaptive Particle Swarm Optimization (PSO) based on cloud theory, a new adaptive update function based on cloud theory is proposed and applied in the 2D-Mesh topology to optimize distribution of static communication.The parameters of the function varies with the fitness value of particle and the size of topology.The function focus on global and local convergence of binding, so that which achieve the best combination of point to avoid disadvantages of single global search and single local convergence.Experiments show that the effect is more obvious when the size of topology is larger and excellent results is up to 25.74%when comapared with PSO.