Note:This thesis is part of a research project submitted in partial fulfillment of the degree of Doctor of Musical Arts in the School of Music. The project also involved the preparation and performance of a recital of music related to the thesis topic.

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Title:Music Generation Using Genetic Algorithms And Its Applications In Real-time Interactive Computer Music Performance
Author(s):Chiu, Ming-Ching
Contributor(s):Associate Professor Stephen A. Taylor; Tipei, Sever; Lund, Erik; Doctor Philip Yampolsky
Department / Program:School of Music
Discipline:Music
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:A.Mus.D. (doctoral)
Subject(s):music
generation
genetic
algorithms
computer
performance
interactive
Abstract:Computer-assisted algorithmic music composition has achieved great success in the past few decades. Composing this kind of music makes the composers think about music in a new way. Research on applying artificial intelligence (AI) methods in music generation emerged almost as early as the beginning of AI. What makes Music AI unique is that it “has involved a degree of complexity which is not the complexity of mathematical formulae, nor the complexity of large quantities of data, but rather a kind of complexity of ideas.” This project tries to partially answer the question whether it is possible to write a computer program which composes music like a human. Genetic algorithms (GA), one type of artificial intelligence, is the main tool used as the music generation engine in this project. The background of artificial intelligence and genetic algorithms is discussed in the first several chapters, including a brief historical review and related works, followed by the code implementation of Departure-core, the GA of this project.
Issue Date:2014-04
Publisher:University of Illinois
Citation Info:Chiu, Ming-Ching. MUSIC GENERATION USING GENETIC ALGORITHMS AND ITS APPLICATIONS IN REAL-TIME INTERACTIVE COMPUTER MUSIC PERFORMANCE. Doctoral Project thesis submitted at the University of Illinois Urbana-Champaign School of Music, 2014.
Genre:Dissertation / Thesis
Type:Text
Language:English
URI:http://hdl.handle.net/2142/74819
Date Available in IDEALS:2015-04-09


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