A Memetic Algorithm for Solving a Timetabling Problem: An Incremental Strategy

نویسندگان

  • Ender Özcan
  • Alpay Alkan
چکیده

Timetabling problems are well known complicated constraint satisfaction problems. A new realworld course timetabling problem is described in this study. The difficulty in approximating to an optimal solution in a reasonable time increases for the large problem instances regardless of the algorithm used. An incremental strategy that aims to relieve this difficulty to some extent combined with a memetic algorithm (MA) is investigated for solving the new timetabling problem. The incremental MA is a multistage approach that enlarges the size of the candidate solutions by adding a selected subset of unscheduled course meetings at a stage. A solution is then sought for all the course meetings at hand. The initial results show that the incremental MA is promising.

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تاریخ انتشار 2007