Genetic music

Author

Ryan Becker

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.

Publication Date

2006

Document Type

Master's Project

Student Type

Graduate

Department, Program, or Center

Computer Science (GCCIS)

Advisor

Geigel, Joseph

Advisor/Committee Member

Biles, John

Advisor/Committee Member

Carithers, Warren

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2013.

Recommended Citation

Becker, Ryan, "Genetic music" (2006). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/6902

Campus

RIT – Main Campus