scholarly journals Automated Course Scheduling System based on User^|^#39;s Proper Field

2012 ◽  
Vol 22 (2) ◽  
pp. 65-70
Author(s):  
Yukio HORI ◽  
Yusei NISHIMORI ◽  
Yoshiro IMAI
Keyword(s):  
Scheduling System ◽  
Course Scheduling ◽  
Proper Field

Penerapan Algoritma ACO untuk Penjadwalan Kuliah Pengganti pada Perguruan Tinggi (Studi Kasus: Program Studi Informatika, Universitas Multimedia Nusantara)

2019 ◽  
Vol 9 (2) ◽  
pp. 79-85
Author(s):  
Indah Noviasari ◽  
Andre Rusli ◽  
Seng Hansun
Keyword(s):  
Ant Colony Optimization ◽  
Educational Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Ant Colony ◽  
Scheduling Problems ◽  
Perceived Ease Of Use ◽  
Ant Colony Optimization Algorithm ◽  
Scheduling System ◽  
Course Scheduling

Students and scheduling are both essential parts in a higher educational institution. However, after schedules are arranged and students has agreed to them, there are some occasions that can occur beyond the control of the university or lecturer which require the courses to be cancelled and arranged for replacement course schedules. At Universitas Multimedia Nusantara, an agreement between lecturers and students manually every time to establish a replacement course. The agreement consists of a replacement date and time that will be registered to the division of BAAK UMN which then enter the new schedule to the system. In this study, Ant Colony Optimization algorithm is implemented for scheduling replacement courses to make it easier and less time consuming. The Ant Colony Optimization (ACO) algorithm is chosen because it is proven to be effective when implemented to many scheduling problems. Result shows that ACO could enhance the scheduling system in Universitas Multimedia Nusantara, which specifically tested on the Department of Informatics replacement course scheduling system. Furthermore, the newly built system has also been tested by several lecturers of Informatics UMN with a good level of perceived usefulness and perceived ease of use. Keywords—scheduling system, replacement course, Universitas Multimedia Nusantara, Ant Colony Optimization

scholarly journals Automatic Course Scheduling System in Universities Based on Hybrid Genetic-Ant Colony Algorithm

2021 ◽  
Vol 2066 (1) ◽  
pp. 012079
Author(s):  
Yanbei Duan ◽  
Wenjie Lu
Keyword(s):  
Hybrid Algorithm ◽  
Ant Colony Algorithm ◽  
Operation Time ◽  
Original System ◽  
Colleges And Universities ◽  
Ant Colony ◽  
Scheduling System ◽  
Course Scheduling ◽  
System A ◽  
New System

Abstract Scheduling is the daily work of the Ministry of Education in Colleges and universities. In the past ten years, the scale of our colleges and universities has expanded rapidly, but the teaching resources are relatively limited. Many schools are facing the problem of insufficient classroom resources and teachers resources. The current way of organizing courses is increasingly difficult to make full use of existing resources to solve the changing needs and inefficiencies, which need to be improved urgently. This paper applies the hybrid Genetic-Ant algorithm to the automatic course scheduling system in Colleges and universities, and uses the cross-function to design and build the automatic course scheduling system in Colleges and universities. And select a college’s course scheduling system from this city for research, and use the Genetic-Ant hybrid algorithm to improve the original system to form a new system, called the original system A, and called the improved new system B, to compare the operation time and system suitability of the two systems. The results show that the fitness of system B is better than that of system A. When the scheduling unit is 100, the fitness of system A is 181, and system B is 203. When the scheduling unit is 400, the fitness of system B is 14 higher than that of system A. When the scheduling unit is 800, the fitness of system B is 64 higher than that of system A. Thus, the hybrid algorithm of genetic ant colony can improve the rationality of the curriculum.

Design of the B/S Model-Based Automated Course Scheduling System of Universities

2013 ◽  
Vol 760-762 ◽  
pp. 1773-1776
Author(s):  
Dong Ju Du ◽  
Hai Long Shao
Keyword(s):  
Network Architecture ◽  
Scheduling Algorithm ◽  
Algorithm Analysis ◽  
Teaching Management ◽  
Scheduling System ◽  
Overall Design ◽  
Course Scheduling ◽  
Function Module ◽  
S Model ◽  
Management Work

In order to lift the restrictions of classrooms, teachers, classes and time on the course scheduling, the B/S network architecture and ASP.NET technology are taken as the development tools to introduce the design of the course scheduling system from the perspectives of course scheduling algorithm analysis, overall design and each function module for the purpose of implementing the intelligentized and humanized course scheduling process and perfecting the teaching management work.

Design and implementation of a course scheduling system using Tabu Search

2002 ◽  
Vol 137 (3) ◽  
pp. 512-523 ◽  
Author(s):  
Ramon Alvarez-Valdes ◽  
Enric Crespo ◽  
Jose M Tamarit
Keyword(s):  
Tabu Search ◽  
Scheduling System ◽  
Design And Implementation ◽  
Course Scheduling
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