University course and examination timetables scheduling using a multi-agents system
No Thumbnail Available
Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oum El Bouaghi
Abstract
Scheduling is one of the important topics conducted over the years in several studies. One part of the schedule is known as university timetables. The most universities are faced with this NP-hard problem. The timetabling process must be performed on a regular basis for every academic semester and is daunting and time consuming. The aim of this research was to create an integrated method for creating a timetable of university courses in our department using a multi-agent approach and genetic algorithms. This method allows faculty members and department heads to plan, monitor, screen, and edit all events related to their classes. The timetable is created collaboratively and cooperatively by three agents: Capture Agent, Processing Agent, and Distributing Agent. Several simulations were conducted to assess system performance by evaluating the human and material constraint satisfaction rate.
Description
Keywords
Course timetable scheduling; Multi-agent; Intelligent agents; Genetic algorithms