Case-based selection of initialisation heuristics for metaheuristic examination timetabling

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摘要

Examination timetabling problems are often solved by a two-phase procedure combining a sequential construction heuristic with a metaheuristic improvement search. There can be many combinations of pairing candidate construction heuristics with a metaheuristic. Different pairings are known to produce solutions of varying quality. In this paper we propose a Case Based Reasoning methodology for selecting the pairing of an appropriate sequential construction heuristic with the Great Deluge metaheuristic. We have thoroughly tested our solution approach by using extensive computational experiments in the domain of examination timetabling, and obtained the best results on a number of benchmark problems. In this research we have addressed the research issues of the representation of timetabling problems, similarity measures for timetabling problems, and the retrieval process.

论文关键词:Timetabling,Case-based reasoning,Sequential heuristics,Great Deluge algorithm,Decision support systems

论文评审过程:Available online 14 July 2006.

论文官网地址:https://doi.org/10.1016/j.eswa.2006.06.017