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Evolving solutions to the school timetabling problem
2009
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)
There has been a large amount of research into the development of automated systems for creating school timetables. Methodologies such as constraint programming, simulated annealing, and Tabu search have been applied to many school timetabling problems. The research presented in this paper forms part of work-in-progress aimed at evaluating genetic algorithms as a means of solving the school timetabling problem. In previous work a genetic algorithm was successful applied to solving the school
doi:10.1109/nabic.2009.5393667
dblp:conf/nabic/RaghavjeeP09
fatcat:udt5y5w7o5dmzlleykd2zztpee