Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Fitness in evolutionary art and music: a taxonomy and future prospects

Fitness in evolutionary art and music: a taxonomy and future prospects 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 such systems, with two dimensions: what the fitness function is applied to, and the basis by which the function is constructed. A large collection of papers are classified using this taxonomy. The paper then discusses a number of ideas that have not been used for fitness evaluation in evolutionary art and which might be valuable in future developments: memory, scaffolding, connotation and web search. Keywords: evolutionary art; evolutionary music; fitness; digital art; evolutionary computation. Reference to this paper should be made as follows: Johnson, C.G. (2016) `Fitness in evolutionary art and music: a taxonomy and future prospects', Int. J. Arts and Technology, Vol. 9, No. 1, pp.4­25. Biographical notes: Colin G. Johnson is a Reader in the School of Computing at the University of Kent, Canterbury, UK. His research interests include bio-inspired computation, data mining, bioinformatics and computational creativity. This paper is a revised and expanded version of a paper entitled `Fitness in evolutionary art and music: What has been used and what could be http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Arts and Technology Inderscience Publishers

Fitness in evolutionary art and music: a taxonomy and future prospects

Loading next page...
 
/lp/inderscience-publishers/fitness-in-evolutionary-art-and-music-a-taxonomy-and-future-prospects-Uwz0aW09s9
Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1754-8853
eISSN
1754-8861
DOI
10.1504/IJART.2016.075406
Publisher site
See Article on Publisher Site

Abstract

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 such systems, with two dimensions: what the fitness function is applied to, and the basis by which the function is constructed. A large collection of papers are classified using this taxonomy. The paper then discusses a number of ideas that have not been used for fitness evaluation in evolutionary art and which might be valuable in future developments: memory, scaffolding, connotation and web search. Keywords: evolutionary art; evolutionary music; fitness; digital art; evolutionary computation. Reference to this paper should be made as follows: Johnson, C.G. (2016) `Fitness in evolutionary art and music: a taxonomy and future prospects', Int. J. Arts and Technology, Vol. 9, No. 1, pp.4­25. Biographical notes: Colin G. Johnson is a Reader in the School of Computing at the University of Kent, Canterbury, UK. His research interests include bio-inspired computation, data mining, bioinformatics and computational creativity. This paper is a revised and expanded version of a paper entitled `Fitness in evolutionary art and music: What has been used and what could be

Journal

International Journal of Arts and TechnologyInderscience Publishers

Published: Jan 1, 2016

There are no references for this article.