An agent based general solution model for the course timetabling problem

  • Authors:

  • Yan Yang;Raman Paranjape;Luigi Benedicenti

  • Affiliations:

  • University of Regina;University of Regina;University of Regina

  • Venue:
  • AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2006

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Abstract

This paper proposes a general solution model using agent technology in order to solve two critical open issues in the course timetabling problem: application-specific issues and dynamic-constraint issues. In our solution model, each agent in the system represents a constraint in the course timetabling problem. Compared to existing course timetabling solutions, the proposed agent solution model has much better generality, flexibility, dynamics, modularity and scalability.