Evolving music generation with SOM-fitness genetic programming

Most real life applications have huge search spaces. Evolutionary Computation provides an advantage in the form of parallel explorations of many parts of the search space. In this report, Genetic Programming is the technique we used to search for good melodic fragments. It is generally accepted that...

Full description

Bibliographic Details
Main Authors: Phon-Amnuaisuk, Somnuk, Law, Edwin Hui Hean, Kuan, He Chin
Format: Book Section
Language:English
Published: Springer Berlin Heidelberg 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3134/
http://shdl.mmu.edu.my/3134/1/Evolving%20Music%20Generation%20with%20SOM-Fitness.pdf
_version_ 1848790243232186368
author Phon-Amnuaisuk, Somnuk
Law, Edwin Hui Hean
Kuan, He Chin
author_facet Phon-Amnuaisuk, Somnuk
Law, Edwin Hui Hean
Kuan, He Chin
author_sort Phon-Amnuaisuk, Somnuk
building MMU Institutional Repository
collection Online Access
description Most real life applications have huge search spaces. Evolutionary Computation provides an advantage in the form of parallel explorations of many parts of the search space. In this report, Genetic Programming is the technique we used to search for good melodic fragments. It is generally accepted that knowledge is a crucial factor to guide search. Here, we show that SOM can be used to facilitate the encoding of domain knowledge into the system. The SOM was trained with music of desired quality and was used as fitness functions. In this work, we are not interested in music with complex rules but with simple music employed in computer games. We argue that this technique provides a flexible and adaptive means to capture the domain knowledge in the system.
first_indexed 2025-11-14T18:09:31Z
format Book Section
id mmu-3134
institution Multimedia University
institution_category Local University
language English
last_indexed 2025-11-14T18:09:31Z
publishDate 2007
publisher Springer Berlin Heidelberg
recordtype eprints
repository_type Digital Repository
spelling mmu-31342013-11-20T07:48:25Z http://shdl.mmu.edu.my/3134/ Evolving music generation with SOM-fitness genetic programming Phon-Amnuaisuk, Somnuk Law, Edwin Hui Hean Kuan, He Chin T Technology (General) QA75.5-76.95 Electronic computers. Computer science Most real life applications have huge search spaces. Evolutionary Computation provides an advantage in the form of parallel explorations of many parts of the search space. In this report, Genetic Programming is the technique we used to search for good melodic fragments. It is generally accepted that knowledge is a crucial factor to guide search. Here, we show that SOM can be used to facilitate the encoding of domain knowledge into the system. The SOM was trained with music of desired quality and was used as fitness functions. In this work, we are not interested in music with complex rules but with simple music employed in computer games. We argue that this technique provides a flexible and adaptive means to capture the domain knowledge in the system. Springer Berlin Heidelberg 2007-04 Book Section NonPeerReviewed text en http://shdl.mmu.edu.my/3134/1/Evolving%20Music%20Generation%20with%20SOM-Fitness.pdf Phon-Amnuaisuk, Somnuk and Law, Edwin Hui Hean and Kuan, He Chin (2007) Evolving music generation with SOM-fitness genetic programming. In: Applications of Evolutionary Computing. Lecture Notes in Computer Science (4448). Springer Berlin Heidelberg, pp. 557-566. ISBN 978-3-540-71804-8 http://link.springer.com/chapter/10.1007%2F978-3-540-71805-5_61 10.1007/978-3-540-71805-5_61 10.1007/978-3-540-71805-5_61 10.1007/978-3-540-71805-5_61
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Phon-Amnuaisuk, Somnuk
Law, Edwin Hui Hean
Kuan, He Chin
Evolving music generation with SOM-fitness genetic programming
title Evolving music generation with SOM-fitness genetic programming
title_full Evolving music generation with SOM-fitness genetic programming
title_fullStr Evolving music generation with SOM-fitness genetic programming
title_full_unstemmed Evolving music generation with SOM-fitness genetic programming
title_short Evolving music generation with SOM-fitness genetic programming
title_sort evolving music generation with som-fitness genetic programming
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3134/
http://shdl.mmu.edu.my/3134/
http://shdl.mmu.edu.my/3134/
http://shdl.mmu.edu.my/3134/1/Evolving%20Music%20Generation%20with%20SOM-Fitness.pdf