The emergency assembly points in the facility are important locations where non-essential personnel gather, count, hide, and wait for vehicles to evacuate during an accident scenario. The selection of emergency assembly points requires comprehensive consideration of factors such as the time it takes for people to gather within the facility, the distribution of radioactive materials, vehicle accessibility, and other relevant factors. This paper proposes a method for selecting emergency assembly points in the facility area that optimizes both dose and time considerations. It takes into account the preventable dose and predicted evacuation time as two major factors, employs immune optimization algorithms to solve the problem. The proposed approach evaluates various combinations of emergency assembly point selection schemes, offering an optimized plan for these points. By formulating a rational emergency assembly point scheme, it aims to minimize the radiation exposure risk for non-essential personnel at each assembly point, facilitate a rapid and orderly evacuation process, and ensure the maximum safety of non-emergency staff during the departure from the facility area.