首页> 外文期刊>Expert systems with applications >A survey of the state-of-the-art of optimisation methodologies in school timetabling problems
【24h】

A survey of the state-of-the-art of optimisation methodologies in school timetabling problems

机译:学校时间表问题中优化方法的最新技术的调查

获取原文
获取原文并翻译 | 示例

摘要

Educational timetabling is an ongoing challenging administrative task that is required in most academic institutions. This is mainly due to a large number of constraints and requirements that have to be satisfied. Educational timetabling problems have been classified as NP-hard problems and can be divided into three types: exam timetabling, course timetabling and high school timetabling. The domain of high school timetabling is not well developed when compared to other fields of educational timetabling such as university exam timetabling and course timetabling. As the evolution of the educational systems are continuous, new challenges often arise, requiring new models and solution methodologies. Over the years, a number of methodologies have been developed to address high school timetabling problems. However, there are no comparative studies or rigorous analysis of these methodologies. This survey paper aims to provide a scientific review of high school timetabling. The paper presents a categorisation of the methodologies conducted in recent years based on chronology, category and application (dataset). We first present comparative studies on the success of proposed methodologies. The components and mechanisms of different methodologies are analysed and compared. We also discuss their performance, advantages, disadvantages and potential for improvement. Methodology wise, a shift of popularity from meta-heuristic to mathematical optimisation is observed in recent years. Another observation is that more researchers are opting for XHSTT formatted datasets as a testbed for their algorithms. Finally, we outline the industrial perspective, trends and future direction in high school timetabling optimisation problems.
机译:教育时间表是大多数学术机构所需的持续具有挑战性的行政任务。这主要是由于必须满足的大量约束和要求。教育时间表问题已被归类为NP难题,可分为三种类型:考试时间表,课程时间表和高中时间表。与大学考试时间表和课程时间表等教育时间表等其他领域相比,高中时间表的领域并非发达。随着教育系统的演变是持续的,新的挑战通常会出现,需要新的模型和解决方案方法。多年来,已经制定了许多方法来解决高中时间表问题。然而,对这些方法没有比较研究或严格分析。本调查纸旨在为高中时刻表提供科学审查。本文提出了基于年表,类别和应用程序(DataSet)近年来近年来进行的方法的分类。我们首先提出了提出方法的成功的比较研究。分析并比较了不同方法的组分和机制。我们还讨论了他们的表现,优势,缺点和改进潜力。方法论,近年来观察到从荟萃启发式到数学优化的普及变化。另一个观察是,更多的研究人员正在选择XHSTT格式化数据集作为其算法的测试平台。最后,我们在高中时间表优化问题中概述了工业观点,趋势和未来方向。

著录项

  • 来源
    《Expert systems with applications》 |2021年第3期|113943.1-113943.13|共13页
  • 作者单位

    Univ Malaysia Sabah Fac Comp & Informat Optimisat Res Grp Kampus Antarabangsa Labuan Jln Sugai Pagar Labuan 87000 Malaysia;

    Univ Malaysia Sabah Fac Comp & Informat Optimisat Res Grp Kampus Antarabangsa Labuan Jln Sugai Pagar Labuan 87000 Malaysia;

    Univ Nottingham Sch Comp Sci Malaysia Campus Jln Broga Semenyih 43500 Selangor Malaysia|Univ Nottingham Sch Comp Sci Univ Pk Nottingham NG7 2RD England;

    La Trobe Univ Dept Comp Sci & Informat Technol Melbourne Vic Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    School timetabling; Educational timetabling; Meta-heuristic algorithms;

    机译:学校时间表;教育时间表;荟萃启发式算法;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号