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This paper presents a two-stage solution method for the curriculum-based university course timetabling problem. First, an initial solution is created using a recursive search algorithm, then its quality is improved with a local search heuristic. This method utilizes a tabu list of forbidden transformations, as well as a destructive step at the end of each iteration. The algorithm is tested on datasets of the 2007 International Timetabling Competition.
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Deposits are accepted if they:
This community collects the research work conducted by InnoRenew CoE employees (innorenew.eu) and its research partners.
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The InnoRenew CoE and the InnoRenew project receive funding from the Horizon 2020 Framework Programme of the European Union; H2020 WIDESPREAD-2-Teaming: #739574.
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