Hopfield neural networks for timetabling: formulations, methods, and comparative results
Computers and Industrial Engineering - Special issue: Focussed issue on applied meta-heuristics
The Complexity of Timetable Construction Problems
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
A MAX-MIN Ant System for the University Course Timetabling Problem
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Applying evolutionary computation to the school timetabling problem: The Greek case
Computers and Operations Research
The university course timetabling problem with a three-phase approach
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
Academic course scheduling by simulated annealing
Journal of Computing Sciences in Colleges
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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.