文章基本信息

标题：Combining the Analytical Hierarchy Process and the Genetic Algorithm to Solve the Timetable Problem
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作者：Ihab Sbeity ; Mohamed Dbouk ; Habib Kobeissi 等
期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2014
卷号：5
期号：4
页码：39
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The main problems of school course timetabling are time, curriculum, and classrooms. In addition thereare other problems that vary from one institution to another. This paper is intended to solve the problem ofsatisfying the teachers’ preferred schedule in a way that regards the importance of the teacher to thesupervising institute, i.e. his score according to some criteria. Genetic algorithm (GA) has been presentedas an elegant method in solving timetable problem (TTP) in order to produce solutions with no conflict. Inthis paper, we consider the analytic hierarchy process (AHP) to efficiently obtain a score for each teacher,and consequently produce a GA-based TTP solution that satisfies most of the teachers’ preferences
关键词：Timetable problem; Genetic algorithm; Analytic Hierarchy process; and Multi-criteria decision making