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

Created by W.Langdon from gp-bibliography.bib Revision:1.7917

@Article{DBLP:journals/ijart/Johnson16,

• author = "Colin G. Johnson",
• title = "Fitness in evolutionary art and music: a taxonomy and future prospects",
• journal = "International Journal of Arts and Technology",
• year = "2016",
• volume = "9",
• number = "1",
• pages = "4--25",
• month = "23 " # mar,
• keywords = "genetic algorithms, genetic programming, evolutionary art, evolutionary music, fitness evaluation, digital art, evolutionary computation, taxonomy, memory, scaffolding, connotation, web search",
• ISSN = "1754-8853",
• timestamp = "Tue, 21 Mar 2023 21:15:54 +0100",
• biburl = "https://dblp.org/rec/journals/ijart/Johnson16.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "https://kar.kent.ac.uk/id/document/3132950",
• DOI = "doi:10.1504/IJART.2016.075406",
• size = "23 pages",
• abstract = "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.",
• notes = "Cites a few GP papers",

}

Genetic Programming entries for Colin G Johnson

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