Multi Objective Time Table Scheduling Using Genetic Algorithm

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
G. George
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引用次数: 0

Abstract

Scheduling the class periods using traditional methods like using online spreadsheets is complex and time consuming. The complexity increases with multiple subject, student and teachers as the requirements become more complex. It is difficult to manage subjects with multiple teachers or forming student groups and assigning teachers. In addition, priority of subjects or teachers, class hours are not considered for scheduling. Class scheduling using genetic algorithm, has been developed to schedule class rooms considering various resources and parameters. The proposed algorithm accepts various parameters like priority values for teachers and subjects or class hours and give the best solution. Our new system makes the classroom scheduling easier and also reduce the time required for scheduling.
基于遗传算法的多目标时间表调度
使用在线电子表格等传统方法来安排上课时间既复杂又耗时。复杂性随着学科、学生和教师的增多而增加,要求也越来越复杂。管理多名教师的科目或组成学生小组并分配教师是困难的。此外,科目或教师的优先级,上课时间不考虑调度。课程调度使用遗传算法,已开发调度教室考虑各种资源和参数。该算法接受教师和科目的优先级值、课时等参数,并给出最优解。我们的新系统使课堂调度更容易,也减少了调度所需的时间。
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来源期刊
CiteScore
2.50
自引率
46.20%
发文量
57
期刊介绍: IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.
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