Enhancing Academic Scheduling Efficiency Through Genetic Algorithms at Westbridge Institute of Technology Inc.

Author(s)	Jarmine Nicole Diaz Perez, Cyril Ash Jimenez Mangalino, Kayl Begonia Venus, Prof. Anna Liza O. Villanueva, Dr. Zenaida A. Gueta
Country	Philippines
Abstract	Scheduling in academic institutions is a complex process that requires balancing different constraints such as classroom availability, instructor load, and student schedules. Traditional manual scheduling often results in conflicts, inefficiency, and time-consuming adjustments. To address these challenges, this study developed an automated class scheduling system using a Genetic Algorithm (GA) approach. The proposed system aims to optimize the creation of class timetables by simulating the process of natural selection, producing schedules that satisfy institutional requirements while minimizing conflicts. The system was designed, developed, and tested within the institution to assess its functionality and efficiency.
Keywords	Genetic Algorithm, Scheduling, Optimization, Automation, Timetable Generation, Efficiency, Computer Science, Academic System
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-21
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72018

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