Aim & Scope

Aim & Scope

Evolutionary computation (EC) techniques, including genetic algorithm, evolution strategies, genetic programming, particle swarm optimization, ant colony optimization, differential evolution, and memetic algorithms have shown to be effective for search and optimization problems. Recently, EC and deep neural networks gained several promising results and become important tools in computational creativity, such as in music, visual art, literature, architecture, and industrial design.

The aim of this special session is to reflect the most recent advances of EC for Music, Art, and Creativity, with the goal to enhance autonomous creative systems as well as human creativity. This session will allow researchers to share experiences and present their new ways for taking advantage of EC techniques in computational creativity. Topics of interest include, but are not limited to, EC in the following aspects:

• Generation of music, visual art, literature, architecture, and industrial design

• Algorithmic design in creative intelligence

• Application of EC to music analysis, classification/clustering, composition, variation and improvisation

• Optimization in creativity

• Development of hardware and software for creative systems

• Evaluation methodologies

• Assistance of human creativity

• Computational aesthetics

• Emotion response

• Human-machine creativity

• Educational and Industrial applications of computer creativity

Keywords

• Computational Intelligence

• Evolutionary computation

• Neural Networks

• Fuzzy Systems, Deep Learning

• Computational Creativity

• Music, Visual Arts

• Creative Intelligence

• Emotion Response

• Aesthetics.