Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/16962
Title: Evolutionary music
Authors: Yong, Deborah Ee San.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2009
Abstract: Evolutionary Music is one of the more recent areas in the Evolutionary Computation domain where music is created, arranged or improvised using computers. The goal in evolutionary music research is to create an intelligent system which produces aesthetically pleasing music to the user based the application of evolutionary algorithms such as genetic algorithms and some form of music structure representation. In the previous versions of EVM, more attention has been paid towards music composition. EVM 4.0 will expand on the domain of music evolution where melodies are evolved and evaluated by explicitly defined structural fitness functions as well as user preference input for optimization. The report first introduces the background theory of genetic algorithms and a literature review on the different features of a melody which can be used for music analysis. Subsequently, the report will cover details on the design and implementation of the system. Next, would be an analysis on the strengths and weakness of the implemented system. Finally, the report concludes with suggestions for future exploration and enhancement.
URI: http://hdl.handle.net/10356/16962
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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