Design And System Implementation For Classschedulingusing Immune Genetic Algorithm

Nowadays,information technology and Internet technology is prevailing,and how to manage information more systematically and conveniently has become a serious problem for universities.With the development of colleges and universities,the number of students is also increasing.Among all the problems,the daily teaching schedule is a very complicated problem.It should include the specific classroom address,students,courses and teachers,as well as the types of courses to be taught and the time required for class.Manual scheduling is a task with large workload and low efficiency.It is urgent for colleges and universities to adopt an automated scheduling system to improve efficiency,so as to reduce human resource costs for the convenience of educational administrators.In the paper,the traditional genetic algorithm and immune genetic algorithm are studied first,and their limitations for class scheduling are analyzed.Aiming at the limitations of traditional immune genetic algorithms,a new method for dynamic adaptive extraction of vaccines and vaccines is proposed,which is to extract effective information from each generation of the best genes in the process of population evolution and make vaccines.The immune genetic algorithm is improved by this method,and a dynamic adaptive immune genetic algorithm is obtained.The improved immune genetic algorithm described above is then used in the course scheduling system.The school-level course scheduling system is designed and implemented under the three-tier architecture based on B/S mode.The main functions of this system are: basic management,information management of training programs,scheduling management,printing schedules and system management.In the detailed operation of the scheduling system,the scheduling system is mainly completed by means of manual scheduling and automatic scheduling,and on this basis,it can also be adjusted at any time.