International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Revolutionizing Scheduling: A Comprehensive Analysis of Automated Timetabling Solution

Author(s) Sanchi Singhal, Darshit Agarwal, Yashi Bhardwaj
Country India
Abstract This study introduces an innovative automated timetable generator, employing a genetic algorithm approach, to streamline scheduling processes for educational institutions. The generator automates the task of creating timetables by intelligently allocating classes to appropriate time slots, while accommodating
various constraints and user preferences. Utilizing intuitive interfaces and robust genetic algorithms, the generator offers a user-friendly solution for managing daily activities. The paper highlights the methodology behind the generator's development, emphasizing the integration of genetic algorithms, and highlights its key features. Empirical testing and evaluation confirm the effectiveness and reliability of the generator in producing optimized timetables. The results demonstrate a significant reduction in time and effort required for scheduling tasks, thereby enhancing productivity and user convenience. This study
contributes a practical and efficient solution for timetable generation, with broad applicability in diverse educational and organizational settings.
Keywords Genetic Algorithm, Scheduling, Empirical testing
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-26
Cite This Revolutionizing Scheduling: A Comprehensive Analysis of Automated Timetabling Solution - Sanchi Singhal, Darshit Agarwal, Yashi Bhardwaj - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.19313
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.19313
Short DOI https://doi.org/gtwmv9
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