Particle Swarm Optimization Model of Distributed Network Planning

With the continuous improvement of computer hardware, major factors affecting the efficiency of computer network have been the pros and cons of the network structure. So it can ensure the operational efficiency, stability and security of the network and save a lot of hardware resources to reasonably plan the distributed computer network. At present, planning levels of many distributed computer networks are not very high, which results in the lower computer network efficiency. For this reason, this study presents the optimal planning algorithm basing on particle swarm.What’s more, network nodes can be encoded as particles in the progress of planning the distributed computer network, then judge the feasibility of particles and evaluate the sufficiency of particles according to the built models, finally, determine the optimal results to improve the computer network’s especially the distributed one’s efficiency per the general requirement.