SCHEDULING COURSES USING PARTICLE SWARM OPTIMIZATION ALGORITHM

MASTOPA, CHENDERA HARI (2013) SCHEDULING COURSES USING PARTICLE SWARM OPTIMIZATION ALGORITHM. Other thesis, Unika Soegijapranata Semarang.

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Abstract

Scheduling courses might seem an easy job. But, don't take any mistake, Scheduling Courses was very difficult especially at the beginning. It's because there were a lot of lecturers involved and these lecturers had different flurry. The lecturer could teach course on Monday, the other one may only could teach on Friday, or the lecturer only could teach at 9 and above. Not only that, there were also some requirements to schedule optimization. The lecturer only can taught a lesson once a day, so that lecturer can not tough any lesson in other class or in same class again in that day, Other requirement is the maximum number of credits in the class every day which is 6 credits. That's the reason why the application were made. So that those who made schedule courses could make schedule more easy and faster. This scheduling courses is using Particle Swarm Optimization Algorithm to give suggestions about the schedule that will be made. That makes the schedule optimization are not required to being used for scheduling.

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions:	Faculty of Computer Science
Depositing User:	Mrs Christiana Sundari
Date Deposited:	16 Oct 2018 08:11
Last Modified:	16 Oct 2018 08:11
URI:	http://repository.unika.ac.id/id/eprint/17074

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