A hybridized Lagrangian relaxation and simulated annealing method for the course timetabling problem

  • Authors:
  • Aldy Gunawan;Kien Ming Ng;Kim Leng Poh

  • Affiliations:
  • -;-;-

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2012

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Abstract

This paper describes a timetabling problem at universities, where a master course timetable is given extrinsically and conflicts due to students' course enrollment do not need to be considered. A solver for the problem, which integrates both teacher assignment and course scheduling, is described. An initial solution is obtained by a mathematical programming approach based on Lagrangian relaxation. This solution is further improved by a simulated annealing algorithm. The proposed method has been tested on instances from a university in Indonesia, as well as on several randomly generated datasets, and the corresponding computational results are reported.