
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 1
January-February 2025
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Revolutionizing Scheduling: A Comprehensive Analysis of Automated Timetabling Solution
Author(s) | Sanchi Singhal, Darshit Agarwal, Yashi Bhardwaj |
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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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E-ISSN 2582-2160

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