Closed Loop Supply Chain Optimization Model of Green Fast Consumer Goods Based on Multi Objective Game Theory

摘要

In order to improve RFID network optimization precision of Internet of Things further, the Thesis discusses innovative design in two aspects: the first aspect is further promotion of optimization algorithm performance. Based on harmony search algorithm, control parameter is designedand gauss traversal distribution function is introduced for improvement; the second aspect is improvement of RFID network optimization model. Objective function with self-fit weight form is designed to realize synchronous evolution of network index and prevent extreme value point effectively.Simulation results show that, GTHS algorithm optimization results of objective function with self-fit weight are better than optimization results of comparison literature algorithm. RFID radio frequency network optimization research of large scale Internet of Things is of great economic significance.Above algorithms also research problems in this field but there is no algorithm effect verification under actual conditions and this will be research emphasis for next step of work.