Timetable Scheduling System using Genetic Algorithm for School of Computing (tsuGA)

IF 1.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Innovative Computing Information and Control Pub Date : 2021-10-31 DOI:10.11113/ijic.v11n2.342
Hazinah Kutty Mammi, Lim Ying Ying
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引用次数: 0

Abstract

Current timetable scheduling system in School of Computing(SC), Universiti Teknologi Malaysia(UTM) is done manually which consumes time and human effort. In this project, a Genetic Algorithm (GA) approach is proposed to aid the timetable scheduling process. GA is a heuristic search algorithm which finds the best solution based on current individual characteristics. Using GA and scheduling info such as rooms available and timeslots needed, it is shown that scheduling can be done more efficiently, with less time, effort and errors. As a testbed, a web application is developed to maintain records needed and generate timetables. Introduction of GA helps in generating a timetable automatically based on information such as rooms, subjects, lecturers, student group and timeslot. GA reduces human error and human efforts in the timetable scheduling process.
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基于遗传算法的计算学院课程表调度系统
目前马来西亚科技大学计算机学院(SC)的课程表调度系统是手工完成的,耗费时间和人力。在这个项目中,提出了一种遗传算法(GA)方法来辅助时间表调度过程。遗传算法是一种启发式搜索算法,它根据当前个体的特征找到最优解。使用遗传算法和调度信息(如可用房间和所需时间段),可以更有效地完成调度,减少时间、精力和错误。作为测试平台,开发了一个web应用程序来维护所需的记录并生成时间表。GA的引入有助于根据教室、科目、讲师、学生群体和时间段等信息自动生成时间表。遗传算法减少了时间表调度过程中的人为错误和人力。
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来源期刊
CiteScore
3.20
自引率
20.00%
发文量
0
审稿时长
4.3 months
期刊介绍: The primary aim of the International Journal of Innovative Computing, Information and Control (IJICIC) is to publish high-quality papers of new developments and trends, novel techniques and approaches, innovative methodologies and technologies on the theory and applications of intelligent systems, information and control. The IJICIC is a peer-reviewed English language journal and is published bimonthly
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