Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan

The organizer of sports events often fronting problems such as the incorrect allocation of matches as well as tough to create a good and reliable schedule. Most of the time, the difficulties created by the committee members was by the mistakes made by the human. The manual method is sluggish and ted...

Full description

Saved in:
Bibliographic Details
Main Author: Abdul Motok@Mohd Ridzuan, Hafeezur Syakir
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/31533/1/31533.pdf
https://ir.uitm.edu.my/id/eprint/31533/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.31533
record_format eprints
spelling my.uitm.ir.315332022-09-28T06:56:34Z https://ir.uitm.edu.my/id/eprint/31533/ Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan Abdul Motok@Mohd Ridzuan, Hafeezur Syakir Instruments and machines Algorithms Database management The organizer of sports events often fronting problems such as the incorrect allocation of matches as well as tough to create a good and reliable schedule. Most of the time, the difficulties created by the committee members was by the mistakes made by the human. The manual method is sluggish and tedious, not to mention costly when they have to process the data elsewhere. A highly constrained combinatorial problem, like the sports timetable, can be resolved by evolutionary methods. Thus, a schedule for the sports tournament is needed in order to delegate the matches in a tournament. The purpose of this research is to analysed the algorithm techniques and illustrate how the technique solves these problems. In this report, a Genetic Algorithm (GA) is applied for solving University sports timetabling problems. In genetic algorithm, there are steps include such as initialize population, selection, crossover, mutation and calculate fitness. These steps are repeat until a condition satisfied. The system uses the Rapid Application Development (RAD) methodology in system development and will be operate on a web-based platform. The phase in RAD such as planning requirements, user design, rapid construction and cutover is used during development. RAD highlights on user interaction and quick development of the system using prototypes. The functionality testing is conducted using Blackbox testing technique to test the functionality of the project. 2020 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/31533/1/31533.pdf Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan. (2020) Degree thesis, thesis, Universiti Teknologi MARA, Melaka. <http://terminalib.uitm.edu.my/31533.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Instruments and machines
Algorithms
Database management
spellingShingle Instruments and machines
Algorithms
Database management
Abdul Motok@Mohd Ridzuan, Hafeezur Syakir
Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
description The organizer of sports events often fronting problems such as the incorrect allocation of matches as well as tough to create a good and reliable schedule. Most of the time, the difficulties created by the committee members was by the mistakes made by the human. The manual method is sluggish and tedious, not to mention costly when they have to process the data elsewhere. A highly constrained combinatorial problem, like the sports timetable, can be resolved by evolutionary methods. Thus, a schedule for the sports tournament is needed in order to delegate the matches in a tournament. The purpose of this research is to analysed the algorithm techniques and illustrate how the technique solves these problems. In this report, a Genetic Algorithm (GA) is applied for solving University sports timetabling problems. In genetic algorithm, there are steps include such as initialize population, selection, crossover, mutation and calculate fitness. These steps are repeat until a condition satisfied. The system uses the Rapid Application Development (RAD) methodology in system development and will be operate on a web-based platform. The phase in RAD such as planning requirements, user design, rapid construction and cutover is used during development. RAD highlights on user interaction and quick development of the system using prototypes. The functionality testing is conducted using Blackbox testing technique to test the functionality of the project.
format Thesis
author Abdul Motok@Mohd Ridzuan, Hafeezur Syakir
author_facet Abdul Motok@Mohd Ridzuan, Hafeezur Syakir
author_sort Abdul Motok@Mohd Ridzuan, Hafeezur Syakir
title Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
title_short Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
title_full Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
title_fullStr Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
title_full_unstemmed Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
title_sort sports tournament scheduling using genetic algorithm / hafeezur syakir abdul motok@mohd ridzuan
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/31533/1/31533.pdf
https://ir.uitm.edu.my/id/eprint/31533/
_version_ 1745565266657411072
score 13.160551