Algorithmic composition is the partial or total automation of the process of music composition
by using computers. Since the 1950s, different computational techniques related to Artificial …

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 taxonomy of the Artificial Intelligence (AI) methods currently applied for
algorithmic music composition. The area known as algorithmic music composition concerns …

Interactive evolutionary computation (IEC) finds diverse applications in the domain of sound.
However, there is a lack of methods and operations for combining sound elements into a …

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 …

We present a comprehensive survey on the topic of sound and music composition using
interactive evolutionary computation (IEC). After explaining the fundamentals of IEC and …

Evolutionary music composition is a prominent technique for automatic music generation.
The immense adaptation potential of evolutionary algorithms has allowed the realisation of …

Music composition with algorithms inspired by nature has led to the creation of systems that
compose music with rich characteristics. Nevertheless, the complexity imposed by …

This paper is concerned with the idea of fitness in art and music systems that are based on
evolutionary computation. A taxonomy is presented of the ways in which fitness is used in …

An exciting, expanding palette of hybrid materials is emerging that can be programmed to
actuate by a range of external and internal stimuli. However, there exists a dichotomy …