Applying artificial intelligence (AI) methods for music generation has been attracting the
interest of researchers since the first days of computing. Music has self-referentiality, ie, does …

We present a review of the application of genetic programming (GP) and other variations of
evolutionary computation (EC) to the creative art of music composition. Throughout the …

Composing music is an inspired yet challenging task, in that the process involves many
considerations such as assigning pitches, determining rhythm, and arranging …

Evolutionary algorithms mimic evolutionary behaviors in order to solve problems. They have
been successfully applied in many areas and appear to have a special relationship with …

In this paper, a variable neighborhood search (VNS) algorithm is developed and analyzed
that can generate fifth species counterpoint fragments. The existing species counterpoint …

Music exerts a ubiquitous influence on human cultures and daily lives. Composing music is
deemed rather complicated because it involves various factors (eg, instruments, melodies …

In this paper we focus on issues of harmonic representation and computational analysis. A
new idiomindependent representation is proposed of chord types that is appropriate for …

In the last decade, generative models have seen widespread use for their ability to generate
diverse artefacts in an increasingly simple way. Historically, the use of evolutionary …

In this article, a variable neighbourhood search (VNS) algorithm is developed that can
generate musical fragments consisting of a melody for the cantus firmus and the first species …

During the last decades, several methodologies have been proposed for the harmonization
of a given melody with algorithmic means. Among the most successful are methodologies …