Optimization Algorithm Design of Computer Network Connection Enhancement Based on Particle Swarm Optimization

With the increase of network business and distance openness, the network has to support more and more service systems, and many computer network systems are increasingly overwhelmed. With the rapid development of computer, it is urgent to improve and optimize the overall performance of the network. In order to make the network take on the increasing responsibility and improve its utilization rate, it is necessary to optimize the computer network. However, some early algorithms consider topology optimization, traffic allocation is more, and most of them are tentative algorithms, so they can't get the optimal solution, and they can't meet the needs of current computer network design. Therefore, this paper puts forward a method to optimize network connection based on improved particle swarm optimization. Through analysis, calculation, testing and other ways, it finds out the problems existing in the current computer that affect its network running quality, and then adopts corresponding scientific and technical means to repair or improve, so as to optimize the computer's online speed, make the network run better and make full use of network resources. In this paper, firstly, the mathematical essence of the problem of network connection optimization caused by the increasing scale of computer network is programmed as NP problem, and the particle swarm optimization algorithm is proposed to obtain the approximate optimal solution of network connection optimization. At the same time, in order to improve the performance of the particle swarm optimization algorithm, the particle swarm optimization algorithm is improved, so that the evolution speed of the particle swarm optimization algorithm is obviously improved, and the network connection optimization result can be obtained in a short time, which has good effectiveness and practicability.