A simulated annealing algorithm with a new neighborhood structure for the timetabling problem

  • Authors:
  • Yongkai Liu;Defu Zhang;Stephen C.H. Leung

  • Affiliations:
  • Xiamen University, Xiamen, China;Xiamen University, Xiamen, China;City University of Hong Kong, Hong Kong, Hong Kong

  • Venue:
  • Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
  • Year:
  • 2009

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Abstract

In this paper, a new neighborhood structure is presented. The new neighborhood is obtained by performing a sequence of swaps between two timeslots, instead of only one move in the standard neighborhood structure. Based on new neighborhood, simulated annealing algorithm can solve the timetabling problem well. The computation results on two open benchmarks coming from two real-world high schools timetabling problems prove that the simulated annealing algorithm based on new neighborhood can compete with other effective approaches.