Improving Primary School Timetabling Using Genetic Algorithm GA

Farhan R. Al-Amoush
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引用次数: 3

Abstract

Genetic Algorithm (GA) is one of the most popular optimization solutions. It has been implemented in various applications such as scheduling. Badly designed timetables are not just inconvenient but proved expensive in terms of wasting time and money. The flows of GA are using selection, crossover and mutation operators applied to populations of chromosomes. This paper proposes the powerful techniques using GA in scheduling. School timetabling problem is one of the applications in scheduling. In one aspect, it deals with class and Teachers such that it fulfils the process time slot. These aspects are important for the School timetabling so it can be done in a smooth way and no teacher can sit more than one subject in a same time slot. The other constraint is the teacher workload should be arranged less than three subject in a row.
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利用遗传算法改进小学课程表
遗传算法(GA)是目前最流行的优化算法之一。它已经在各种应用程序中实现,例如调度。设计糟糕的时间表不仅不方便,而且在浪费时间和金钱方面被证明是昂贵的。遗传算法的流程是对染色体群体使用选择、交叉和突变算子。本文提出了利用遗传算法进行调度的强大技术。学校排课问题是排课中的应用问题之一。一方面,它处理班级和教师,这样它就满足了过程时间槽。这些方面对学校的课程表很重要,所以它可以顺利地完成,没有老师可以在同一时间段坐多个科目。另一个限制是教师的工作量应安排在连续少于三个科目。
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Improving Primary School Timetabling Using Genetic Algorithm GA
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