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Training offer selection and course timetabling for remedial education

机译:补习教育的培训课程选择和课程时间表

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摘要

Remedial education aims to assist students that need to achieve particular competencies in several skills at different levels. In this article, we model and solve the problem of selecting the training offer and the related timetabling for high-school remedial courses subject to a number of common budget and operational constraints. We propose an Integer Programming formulation as well as a heuristic to quickly find feasible solutions of good quality for large scale instances. Our algorithms are then tested on randomly-generated instances resembling real-world situations. Computational results show that the exact approach becomes not viable as the size of the instances grows, while the heuristic achieves a good trade-off between solution quality and running time.
机译:补习教育旨在帮助需要在不同水平的几种技能上获得特定能力的学生。在本文中,我们建模并解决了受众多共同预算和运营约束的情况下,为高中补习课程选择培训课程和相关时间表的问题。我们提出一种整数编程公式以及一种启发式方法,以快速找到适用于大规模实例的高质量可行方案。我们的算法然后在类似于现实情况的随机生成实例上进行测试。计算结果表明,随着实例大小的增长,精确的方法变得不可行,而启发式方法在解决方案质量和运行时间之间取得了很好的折衷。

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