Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir

The purpose of this study is to apply Genetic Algorithms in Sudoku puzzles. Sudoku is a Japanese number puzzle game that has become a worldwide phenomenon and has recently gained considerable popularity. The puzzle involves completing a grid of cells by assigning a single number to each cell. The nu...

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Main Author: Mahadzir, Muhamad Fadzil
Format: Thesis
Language:English
Published: 2008
Online Access:https://ir.uitm.edu.my/id/eprint/64329/1/64329.PDF
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spelling my-uitm-ir.643292023-11-05T08:21:27Z Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir 2008 Mahadzir, Muhamad Fadzil The purpose of this study is to apply Genetic Algorithms in Sudoku puzzles. Sudoku is a Japanese number puzzle game that has become a worldwide phenomenon and has recently gained considerable popularity. The puzzle involves completing a grid of cells by assigning a single number to each cell. The numbers in a row or a column must consist of any one of the numbers from 1 to 9; no repetition is allowed. The objective of this paper is to apply genetic algorithms to complete two tasks. First, a GA will be used to generate the correct solution of Sudoku puzzles. The mechanism to produce new grids will follow the requirements needed and meet all the constraints. A fitness function is designed to produce legal grids. Second, a GA will be tested for performance and time efficiency. The conclusion of this paper will relate how suitable and useful GA is in carrying the objectives of this study. The challenges lie on how GA will represent a Sudoku grid in the process and the effectiveness of its operators such as crossover and mutation. The second task will show how GA performs against human in solving Sudoku puzzles. 2008 Thesis https://ir.uitm.edu.my/id/eprint/64329/ https://ir.uitm.edu.my/id/eprint/64329/1/64329.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abu Bakar, Nordin (Prof. Madya. Dr.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abu Bakar, Nordin (Prof. Madya. Dr.)
description The purpose of this study is to apply Genetic Algorithms in Sudoku puzzles. Sudoku is a Japanese number puzzle game that has become a worldwide phenomenon and has recently gained considerable popularity. The puzzle involves completing a grid of cells by assigning a single number to each cell. The numbers in a row or a column must consist of any one of the numbers from 1 to 9; no repetition is allowed. The objective of this paper is to apply genetic algorithms to complete two tasks. First, a GA will be used to generate the correct solution of Sudoku puzzles. The mechanism to produce new grids will follow the requirements needed and meet all the constraints. A fitness function is designed to produce legal grids. Second, a GA will be tested for performance and time efficiency. The conclusion of this paper will relate how suitable and useful GA is in carrying the objectives of this study. The challenges lie on how GA will represent a Sudoku grid in the process and the effectiveness of its operators such as crossover and mutation. The second task will show how GA performs against human in solving Sudoku puzzles.
format Thesis
qualification_level Bachelor degree
author Mahadzir, Muhamad Fadzil
spellingShingle Mahadzir, Muhamad Fadzil
Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir
author_facet Mahadzir, Muhamad Fadzil
author_sort Mahadzir, Muhamad Fadzil
title Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir
title_short Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir
title_full Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir
title_fullStr Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir
title_full_unstemmed Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir
title_sort development of sudoku puzzle using genetic algorithm / muhamad fadzil mahadzir
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2008
url https://ir.uitm.edu.my/id/eprint/64329/1/64329.PDF
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