Identification Technology Using Radio Frequency tags (RFID) is a very advanced technology that is fairly named the greatest revolution after the Internet. Internet of Things is based on this technology and, it will be rapidly prevailed. A set of constraints that lie ahead is the major challenges of development and application of RFID networks. One of the most fundamental concerns is tag Readers optimal deployment in large-scale RFID network planning (RNP), which leads to optimal performance and increase in lifetime and speed of network. With considering coverage, signal interference and load balance as optimization targets and determination of optimum, the establishment issue of tag reader is converted to compound multi-objective optimization problem. In this article, in order to find the answers of the problem, the particle swarm algorithm (PSO) Combination with multi-objective optimization, based on Pareto's theory MOPSO that is able to solve the problem with more than one objective, was used. Simulation results show that the algorithm MOPSO compared to the optimization algorithms coverage, signal interference and load balancing has been effective. Therefore, with optimal deployment of tag readers, overall performance of system is improved.