Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor

This research is about applying three different types of Evolutionary Programming mutation operators onto musical notes which causing them to learn a small subset of children music notes. Research and study in Evolutionary Programming and its various types of mutations have been implemented. As a...

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主要作者: Mohd Noor, Siti Aishah
格式: Thesis
語言:English
出版: 2006
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在線閱讀:https://ir.uitm.edu.my/id/eprint/966/2/966.pdf
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spelling my-uitm-ir.9662024-08-20T15:18:51Z Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor 2006 Mohd Noor, Siti Aishah Electronic Computers. Computer Science This research is about applying three different types of Evolutionary Programming mutation operators onto musical notes which causing them to learn a small subset of children music notes. Research and study in Evolutionary Programming and its various types of mutations have been implemented. As a result, selected mutation types are obtained in order to perform this project. The musical notation that has been used is "Old McDonald Had A Farm" and it is represented using permutation encoding. The size of population, generations and mutation probability are usually random initialized by user. 48-bit strings of musical notes are randomly generated and it is evaluated by cost functions. The effect of random population size to the performance of each different Evolutionary Programming mutation type has been analyzed. From the experiments, it shows that hybrid mutation is better than one mutation type thus, is able to learn faster for overall populations. 2006 Thesis https://ir.uitm.edu.my/id/eprint/966/ https://ir.uitm.edu.my/id/eprint/966/2/966.pdf text en public degree Universiti Teknologi MARA Perpustakaan Tun Abdul Razak
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Electronic Computers
Computer Science
spellingShingle Electronic Computers
Computer Science
Mohd Noor, Siti Aishah
Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor
description This research is about applying three different types of Evolutionary Programming mutation operators onto musical notes which causing them to learn a small subset of children music notes. Research and study in Evolutionary Programming and its various types of mutations have been implemented. As a result, selected mutation types are obtained in order to perform this project. The musical notation that has been used is "Old McDonald Had A Farm" and it is represented using permutation encoding. The size of population, generations and mutation probability are usually random initialized by user. 48-bit strings of musical notes are randomly generated and it is evaluated by cost functions. The effect of random population size to the performance of each different Evolutionary Programming mutation type has been analyzed. From the experiments, it shows that hybrid mutation is better than one mutation type thus, is able to learn faster for overall populations.
format Thesis
qualification_level Bachelor degree
author Mohd Noor, Siti Aishah
author_facet Mohd Noor, Siti Aishah
author_sort Mohd Noor, Siti Aishah
title Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor
title_short Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor
title_full Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor
title_fullStr Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor
title_full_unstemmed Development and analysis of evolutionary programming for learning musical notes / Siti Aishah Mohd Noor
title_sort development and analysis of evolutionary programming for learning musical notes / siti aishah mohd noor
granting_institution Universiti Teknologi MARA
granting_department Perpustakaan Tun Abdul Razak
publishDate 2006
url https://ir.uitm.edu.my/id/eprint/966/2/966.pdf
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