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 …

This paper introduces a novel parameter automation strategy for the particle swarm
algorithm and two further extensions to improve its performance after a predefined number …

This article presents the second Part of a two-Part survey that reviews evolutionary dynamic
optimization (EDO) for single-objective unconstrained continuous problems over the last two …

Particle swarm optimization is a recently invented high-performance optimizer that is very
easy to understand and implement. It is similar in some ways to genetic algorithms or …

In New Digital Musical Instruments Eduardo Miranda and Marcelo Wanderley focus on
musical instruments that use the computer as the main sound-generating device. Such …

Optimization techniques inspired by swarm intelligence have become increasingly popular
during the last decade. They are characterized by a decentralized way of working that …

Algorithmic composition–composing by means of formalizable methods–has a century old
tradition not only in occidental music history. This is the first book to provide a detailed …

Since the beginning of the nineteenth century, a significant evolution in optimization theory
has been noticed. Classical linear programming and traditional non-linear optimization …

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 …

Differential evolution (DE) is well known as a simple and efficient scheme for global
optimization over continuous spaces. In this paper we present two new, improved variants of …