Genetic music

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Title: Genetic music
Author: Becker, Ryan
Abstract: Algorithmic music composition has long been an active area of research in computer science, but the need for a human element only recently began to be more widely acknowledged. Interactive Evolutionary Computing (IEC), made popular by Karl Sims, effectively solves many high dimension problems, like music composition, involving creative and subjective elements. This work applies several Genetic Algorithm (GA) and Genetic Programming (GP) approaches, inspired by Karl Sims, to algorithmic music composition. The implementation of these IEC algorithms is described and their effectiveness compared.
Record URI: http://hdl.handle.net/1850/2764
Date: 2006

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