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 …

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 …

The field of natural computing has been the focus of a substantial research effort in recent
decades. One particular strand of this concerns the development of computational …

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 paper, we describe an interactive generative music system, designed to handle
polyphonic guitar music. We formulate the problem of chord progression generation as a …

We present a novel method of creating piano melodies with Grammatical Evolution (GE).
The system employs a context free grammar in combination with a tonality-driven fitness …

Evolutionary algorithms are a competent nature-inspired approach for complex
computational problem solving. One recent development is Grammatical Evolution, a …

We focus on a representation for evolutionary music based on executable graphs in which
nodes execute arithmetic functions. Input nodes supply time variables and abstract control …

Evolutionary methods afford a productive and creative alternative design workflow. Crucial
to success is the choice of formal representation of the problem. String-rewriting context-free …

The genetic algorithm (GA) uses techniques inspired by evolutionary biology such as
inheritance, mutation, selection, and crossover. Due to its ability to find approximate …