Generation of music through genetic algorithms

Abstract

The focus of this bachelor thesis is to generate appealing music segments algorithmically. Since its creation, the art of music has constantly evolved, developing new genres and styles over time. Computers have long been recognized for their potential in discovering new music, but a computer has yet to produce a truly appealing piece of music. This thesis employs an evolutionary approach, generating large amounts of musical segments and selecting the best ones. This selection is made by a group of programmed raters with different specializations. This method aims to emulate the process of natural selection. While the generated results may not have been top hits in themselves, many interesting segments were created. The created music was diverse, original and could in many cases be considered to be appealing. This project was able to produce decent results in short segments but there is de nitely room for improvement. It is recommended to add more raters to make the rating process as precise as possible.