Evolutionary music: Applying evolutionary computation to the art of creating music
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- @Article{Loughran:GPEM20,
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author = "Roisin Loughran and Michael O'Neill",
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title = "Evolutionary music: Applying evolutionary computation
to the art of creating music",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2020",
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volume = "21",
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number = "1-2",
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pages = "55--85",
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month = jun,
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note = "Twentieth Anniversary Issue",
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keywords = "genetic algorithms, genetic programming, Music
composition, Evolutionary computation, Computational
creativity, Review",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-020-09380-7",
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size = "31 pages",
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abstract = "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 development of EC methods,
since the early 1990s, a small number of researchers
have considered aesthetic problems such as the act of
composing music alongside other more traditional
problem domains. Over the years, interest in these
aesthetic or artistic domains has grown significantly.
We review the implementation of GP and EC for music
composition in terms of the compositional task
undertaken, the algorithm used, the representation of
the individuals and the fitness measure employed. In
these aesthetic studies we note that there are more
variations or generalisations in the algorithmic
implementation in comparison to traditional GP
experiments; even if GP is not explicitly stated, many
studies use representations that are distinctly
GP-like. We determine that there is no single
compositional challenge and no single best evolutionary
method with which to approach the act of music
composition. We consider autonomous composition as a
computationally creative act and investigate the
suitability of EC methods to the search for creativity.
We conclude that the exploratory nature of evolutionary
methods are highly appropriate for a wide variety of
compositional tasks and propose that the development
and study of GP and EC methods on creative tasks such
as music composition should be encouraged.",
- }
Genetic Programming entries for
Roisin Loughran
Michael O'Neill
Citations