Research on genetic optimization algorithm of queue rules based on simulation model

Queue rules are an important component of the queuing system. They directly influence the operational efficiency of the queue system. This paper constructs the queue system simulation model with the complicated queue system as a research object. Further, considering the diversity of queue rules, we propose a genetic optimization algorithm based on queuing system simulation model, which is further modified. Analyzing the eye hospital actual data, it shows that comparing with first come first service (FCFS) rule, the queue rule designed in this paper can reduce more than half of the average hospital waiting patients and ensure the long-term stability of the system. This paper effectively combines the simulation model and the genetic optimization algorithm. It is of decisive significance to optimize queue rules of a complex system and improve the operational efficiency of a queue system.