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Examination Timetable Generation

  • Unique Paper ID: 171957
  • Volume: 11
  • Issue: 8
  • PageNo: 1347-1351
  • Abstract:
  • The Exam Scheduling System leverages a genetic algorithm to optimize the scheduling of exams while adhering to various constraints such as room capacity, non-consecutive invigilation assignments, and maximum allowable student exams per day. The system supports midterm and end-term exams, with specific rules and constraints for each type. It integrates CSV-based data management for rooms, students, courses, and invigilators, and generates PDF reports detailing exam schedules, invigilation assignments, and student room allocations. This robust solution ensures fair and efficient exam scheduling with a user-friendly interface for easy management and customization. The genetic algorithm employs adaptive mutation, roulettewheel selection, and crossover techniques to iteratively improve scheduling solutions over generations. Constraints and fitness functions are designed to ensure practical applicability, accommodating institutional requirements. The output is a well-organized exam schedule and supplementary resources in PDF format, meeting the diverse needs of academic institutions.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 8
  • PageNo: 1347-1351

Examination Timetable Generation

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