Clustering Agents for the Evolution of Autonomous Musical Fitness
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Loughran:2017:evoMusArt,
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author = "Roisin Loughran and Michael O'Neill",
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title = "Clustering Agents for the Evolution of Autonomous
Musical Fitness",
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booktitle = "6th International Conference on Computational
Intelligence in Music, Sound, Art and Design",
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year = "2017",
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editor = "Joao Correia and Vic Ciesielski and Antonios Liapis",
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series = "LNCS",
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volume = "10198",
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publisher = "Springer",
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pages = "160--175",
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address = "Amsterdam",
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month = "19-21 " # apr,
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organisation = "Species",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, Clustering, Self-adaptive system, Autonomous
fitness function",
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isbn13 = "978-3-319-55750-2",
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DOI = "doi:10.1007/978-3-319-55750-2_11",
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abstract = "This paper presents a cyclical system that generates
autonomous fitness functions or Agents for evolving
short melodies. A grammar is employed to create a
corpus of melodies, each of which is composed of a
number of segments. A population of Agents are evolved
to give numerical judgements on the melodies based on
the spacing of these segments. The fitness of an
individual Agent is calculated in relation to its
clustering of the melodies and how much this clustering
correlates with the clustering of the entire Agent
population. A preparatory run is used to evolve Agents
using 30 melodies of known `clustering'. The full run
uses these Agents as the initial population in evolving
a new best Agent on a separate corpus of melodies of
random distance measures. This evolved Agent is then
used in combination with the original melody grammar to
create a new melody which replaces one of those from
the initial random corpus. This results in a complex
adaptive system creating new melodies without any human
input after initialisation. This paper describes the
behaviour of each phase in the system and presents a
number of melodies created by the system.",
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notes = "EvoMusArt2017 held in conjunction with EuroGP'2017,
EvoCOP2017 and EvoApplications2017.
http://www.evostar.org/2017/cfp_evomusart.php",
- }
Genetic Programming entries for
Roisin Loughran
Michael O'Neill
Citations