Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm
University timetabling is an issue that has received more attention in the field of operations research. Course scheduling is the process of arranging time slots and room for a class by paying attention to existing limitations. This problem is an NP-Hard problem, which means the computation time to...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | UMS Journal (OJS) |
| Language: | eng |
| Published: |
Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2021
|
| Subjects: | |
| Online Access: | https://journals.ums.ac.id/index.php/khif/article/view/12879 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1805342474999169024 |
|---|---|
| author | Premananda, I Gusti Agung Muklason, Ahmad |
| author_facet | Premananda, I Gusti Agung Muklason, Ahmad |
| author_sort | Premananda, I Gusti Agung |
| collection | OJS |
| description | University timetabling is an issue that has received more attention in the field of operations research. Course scheduling is the process of arranging time slots and room for a class by paying attention to existing limitations. This problem is an NP-Hard problem, which means the computation time to find a solution increases exponentially with the size of the problem. Solutions to problems of this kind generally use a heuristic approach, which tries to find a sufficiently good (not necessarily optimal) solution in a reasonable time. We go through two stages in solving the timetabling problem. The first stage is to schedule all classes without breaking any predefined rules. The second stage optimizes the timetable generated in the first stage. This study attempts to solve the class timetabling problem issued in a competition called the 2019 International Timetabling Competition (ITC 2019). In the first stage, we use the Iterative Forward Search (IFS) algorithm to eliminate timetable candidates and to generate a schedule. In the second stage, we employ the Great Deluge algorithm with a hyper-heuristic approach to optimize the solution produced in the first stage. We have tested the method using 30 datasets by taking 1,000,000 iterations on each dataset. The result is an application that does schedule elimination and uses the IFS algorithm to produce a schedule that does not violate any of the hard constraints on 30 ITC 2019 datasets. The implementation of the Great Deluge algorithm optimizes existing schedules with an average penalty reduction of 42%. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-12879 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2021 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-12879 Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm Premananda, I Gusti Agung Muklason, Ahmad timetabling; class scheduling; iterated forward search; international timetabling competition University timetabling is an issue that has received more attention in the field of operations research. Course scheduling is the process of arranging time slots and room for a class by paying attention to existing limitations. This problem is an NP-Hard problem, which means the computation time to find a solution increases exponentially with the size of the problem. Solutions to problems of this kind generally use a heuristic approach, which tries to find a sufficiently good (not necessarily optimal) solution in a reasonable time. We go through two stages in solving the timetabling problem. The first stage is to schedule all classes without breaking any predefined rules. The second stage optimizes the timetable generated in the first stage. This study attempts to solve the class timetabling problem issued in a competition called the 2019 International Timetabling Competition (ITC 2019). In the first stage, we use the Iterative Forward Search (IFS) algorithm to eliminate timetable candidates and to generate a schedule. In the second stage, we employ the Great Deluge algorithm with a hyper-heuristic approach to optimize the solution produced in the first stage. We have tested the method using 30 datasets by taking 1,000,000 iterations on each dataset. The result is an application that does schedule elimination and uses the IFS algorithm to produce a schedule that does not violate any of the hard constraints on 30 ITC 2019 datasets. The implementation of the Great Deluge algorithm optimizes existing schedules with an average penalty reduction of 42%. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2021-06-06 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/12879 10.23917/khif.v7i2.12879 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 7 No. 2 October 2021; 39-46 Khazanah Informatika; Vol. 7 No. 2 October 2021; 39-46 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/12879/6658 Copyright (c) 2021 Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | timetabling; class scheduling; iterated forward search; international timetabling competition Premananda, I Gusti Agung Muklason, Ahmad Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm |
| title | Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm |
| title_full | Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm |
| title_fullStr | Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm |
| title_full_unstemmed | Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm |
| title_short | Complex University Timetabling Using Iterative Forward Search Algorithm and Great Deluge Algorithm |
| title_sort | complex university timetabling using iterative forward search algorithm and great deluge algorithm |
| topic | timetabling; class scheduling; iterated forward search; international timetabling competition |
| topic_facet | timetabling; class scheduling; iterated forward search; international timetabling competition |
| url | https://journals.ums.ac.id/index.php/khif/article/view/12879 |
| work_keys_str_mv | AT premanandaigustiagung complexuniversitytimetablingusingiterativeforwardsearchalgorithmandgreatdelugealgorithm AT muklasonahmad complexuniversitytimetablingusingiterativeforwardsearchalgorithmandgreatdelugealgorithm |