Constraint-based school timetabling using hybrid genetic algorithms


10th Congress of the Italian-Association-for-Artificial-Intelligence, Rome, Italy, 10 - 13 September 2007, vol.4733, pp.848-855 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4733
  • City: Rome
  • Country: Italy
  • Page Numbers: pp.848-855
  • Süleyman Demirel University Affiliated: No


In this paper, a hybrid genetic algorithm (HGA) has been developed to solve the constraint-based school timetabling problem (CB-STTP). HGA has a new operator called repair operator, in addition to standard crossover and mutation operators. A timetabling tool has been developed for HGA to solve CB-STTP. The timetabling tool has been tested extensively using real-word data obtained the Technical and Vocational High Schools in Turkey. Experimental results have presented that performance of HGA is better than performance of standard GA.