ВИКОРИСТАННЯ ГЕНЕТИЧНИХ АЛГОРИТМІВ ДЛЯ ОПТИМІЗАЦІЇ ІНДИВІДУАЛЬНОГО ПЛАНУВАННЯ ЗУСТРІЧЕЙ

Optimizing meeting schedules is a complex task, often overlooking individual user preferences. This research explores the use of genetic algorithms for a personalized, adaptive approach to meeting scheduling. Our method evolves a set of schedules based on a designed fitness function, considering various parameters such as the total number of meetings, their priorities, and user preferences. This leads to an effective customization of the schedule output. Moreover, the proposed approach has the potential for practical application by integrating and automating schedule planning with existing services. This not only saves users' time spent on manual planning but also enhances the efficiency of meeting management, providing a comprehensive and user-centric solution.