Interactive evolutionary computation (IEC) has demonstrated significant success in
addressing numerous real-world problems that are challenging to quantify mathematically or …

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 …

This paper introduces a search-based approach to personalized content generation with
respect to visual aesthetics. The approach is based on a two-step adaptation procedure …

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 …

While the real-time focus of today's automated accompaniment generators can benefit
instrumentalists and vocalists in their practice, improvisation, or performance, an opportunity …

Drum rhythm automatic construction is an important step towards the design of systems
which automatically compose music. This work describes a novel mechanism that allows a …

A novel paradigm and system for interactive generative music are described. Families of
musical pieces are represented as functions of a time variable and several variables under …

Neuroevolution, ie evolution of artificial neural networks, has recently emerged as a
powerful technique for solving challenging reinforcement learning problems. Compared to …

A relatively rare application of artificial intelligence at the nexus of art and music is dance.
The impulse shared by all humans to express ourselves through dance represents a unique …