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Applying a mixed objective model in a university timetabling solution searching technique

机译:混合目标模型在大学排课解决方案搜索技术中的应用

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Course timetable is a problem that can be solved using a search technique. The task is usually required in all educational institutes. Even though several literature's had been proposed for the problem, the practical solution is still required a lot of human modifications due to a list of specific requirements and the different characteristics of each institution. This work aims to develop a flexible model to guide the search technique namely dept-bounded discrepancy search to solve timetabling problems. The experiments are done using the real data set of the Faculty of Engineering at Prince of Songkla University. The results show that the objective model can guide the search to a solution that satisfies all hard constraints with a minimal number of soft-constraints violations. However, the order of the soft constraints considered by the search technique can affect the number of soft-constraints violations.
机译:课程时间表是可以使用搜索技术解决的问题。所有教育机构通常都需要完成此任务。尽管已经针对该问题提出了几篇文献,但是由于一系列具体要求和每个机构的不同特征,实际的解决方案仍然需要大量的人工修改。这项工作旨在开发一种灵活的模型来指导搜索技术,即部门边界差异搜索以解决时间表问题。实验是使用宋卡王子大学工程学院的真实数据集完成的。结果表明,目标模型可以将搜索引导到一个满足所有硬约束且软约束违反次数最少的解决方案。但是,搜索技术考虑的软约束的顺序可能会影响违反软约束的次数。

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