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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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/966/2/966.pdf https://ir.uitm.edu.my/id/eprint/966/ |
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| Institution: | Universiti Teknologi Mara |
| Language: | English |
| Summary: | 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. |
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