Efficient timetable creation is paramount for organizational productivity, yet often a labor-intensive task. In this paper, we present 'Timelog', a groundbreaking innovation that harnesses the power of Genetic Algorithms to generate bespoke, conflict-free timetables tailored to user-defined requirements. Timelog empowers users with the ability to customize key parameters such as density, duration, and compatibility, ensuring schedules that perfectly align with their unique needs.To evaluate the effectiveness of Timelog, we introduce a set of performance metrics, including schedule efficiency and resource utilization, providing a comprehensive assessment of its capabilities. Remarkably, Timelog consistently achieves an astounding accuracy rate of 99% when used in educational institutions compliant with UGC (University Grants Commission) norms, making it an ideal solution for academia.By seamlessly integrating genetic algorithms, Timelog represents a transformative leap in the scheduling domain, offering organizations a streamlined, efficient, and highly customizable scheduling solution. This innovation promises to revolutionize the scheduling process, significantly enhancing organizational efficiency and productivity.
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Singh et al. (2024) studied this question.
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