System for optimizing the schedule of cases taking into account user preferences

Abstract

The work is devoted to the development of methods for automated formation of personal and work schedules in which tasks have different priorities, time constraints, and types of execution. The study reviewed modern calendar services and task management systems, identified their key limitations, and proposed a new approach to building an optimized schedule. The developed method combines greedy algorithms for forming the initial schedule, local improvement methods, and adaptive task redistribution, which ensures minimization of overlaps, efficient use of user time, and stability of the schedule when it changes.

The proposed approach allows for individual priorities, fixed events, task importance, possible time windows, and user behavior patterns to be taken into account. As a result, the schedule formation is closer to real conditions, and the system itself is capable of increasing planning efficiency, reducing time losses, and ensuring high accuracy of adaptation in case of dynamic changes in the schedule.