Evolving computer-generated music by means of the normalized compression distance

Abstract

This paper proposes the use of the well-known normalized compression distance as a fitness function which may be used by genetic algorithms to automatically generate music in a given pre-defined style. The superiority of the relative pitch envelope over musical parameters, such as the lengths of the notes, has been confirmed, bringing us to develop a simplified algorithm that nevertheless obtains interesting results