Testing genetic algorithm recombination strategies and the normalized compression distance for computer-generated music
AIKED'06: Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases(2006)
摘要
This paper analyzes the use of the normalized compression distance as a fitness function for the automatic generation of music by means of genetic algorithms, and tests the effect on performance of several genetic recombination procedures. The minimization of the distance of the generated music to a set of musical guides or targets makes it possible to obtain computer-generated music that reminds the style of a certain human author. In spite of the simplicity of the algorithm, the procedure obtains interesting results. The paper includes some considerations on the use of procedures that improve the performance of heavy-tailed distribution processes.
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关键词
computer-generated music,genetic algorithm,genetic recombination procedure,normalized compression distance,automatic generation,certain human author,fitness function,heavy-tailed distribution process,interesting result,musical guide,Testing genetic algorithm recombination
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