Evolving music generation with SOM-fitness genetic programming


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

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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.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 04 Oct 2011 00:47
Last Modified: 20 Nov 2013 07:48
URII: http://shdl.mmu.edu.my/id/eprint/3134


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