Delay forecast in the control system based on internet using the meta-heuristic methods and Comparing methods with each others

Control systems based on internet are developing day by day. These systems are faced with many practical difficulties and challenges. Exchanged Information delay through the network is one of the most important issues of these systems and delay forecasting can make the user aware about the delays and missed data. As a result, the security system can prevent the cyber attacks. Predicting delays accurately, is a complex and difficult problem which has been studied by researchers, and several algorithms have been proposed to solve this problem. Artificial Immune System (AIS) and Particle Swarm Optimization (PSO) are two meta-heuristic methods based on stochastic search that has been developed to solve optimization problems. In this paper, the optimization model is presented. The AIS and PSO has been used as tools for optimization and the “Matlab” software has been utilized as a simulating tool to pridicting delays. In systems Comparing the results of AIS and PSO algorithm on the same data shows the efficiency and superiority of the AIS, both in terms of convergence speed and quality of response.