Research on the integration technology of complex multi-schedule scheduling — A case study of annual project exam scheduling in provincial examination institutions

Multi-schedule optimization has always been an important way to improve management efficiency and achieve high-quality development in all walks of life. In recent years, with the in-depth application of artificial intelligence technology, there are obvious differences in the management benefits of different industries, departments and lines, and many units face complex multi-schedule integration problems when arranging overall planning or annual planning, often unable to start due to resource conflicts. In order to solve this problem effectively, this paper takes the annual project examination scheduling of provincial examination institutions as an example, and studies the scheduling optimization of complex multi-schedule by using projection fusion and algorithm optimization technology. Firstly, the attributes of each examination in different departments, lines and other annual projects are analyzed, and marked according to the available time unit segment of each year. Then, the classification projection is carried out on the annual available time unit according to the exam attributes. Finally, the classification projection is converted into a computable graph coloring optimization problem, and a more reasonable arrangement optimization result is finally obtained through fusion and optimization technology. Through the real scene test, it is preliminatively proved that the projection fusion and graph coloring algorithm have strong application value in the multi-schedule scheduling fusion, and their scheduling benefits and efficiency are significantly higher than the traditional scheduling methods. The relevant models and methods can be used as reference for scheduling optimization of multi-schedule tasks in other fields.