GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @TechReport{Johanson98,
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author = "Bradley E Johanson and Riccardo Poli",
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title = "GP-Music: An Interactive Genetic Programming System
for Music Generation with Automated Fitness Raters",
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institution = "University of Birmingham, School of Computer Science",
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number = "CSRP-98-13",
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month = may,
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year = "1998",
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keywords = "genetic algorithms, genetic programming",
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email = "bjohanso@stanford.edu, R.Poli@cs.bham.ac.uk",
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file = "/1998/CSRP-98-13.ps.gz",
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URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-13.ps.gz",
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URL = "http://graphics.stanford.edu/~bjohanso/gp-music/tech-report",
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size = "12 pages",
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abstract = "In this paper we present the GP-Music System, an
interactive system which allows users to evolve short
musical sequences using interactive genetic
programming, and its extensions aimed at making the
system fully automated. The basic GP system works by
using a genetic programming algorithm, a small set of
functions for creating musical sequences, and a user
interface which allows the user to rate individual
sequences. With this user interactive technique it was
possible to generate pleasant tunes over runs of 20
individuals over 10 generations. As the user is the
bottleneck in interactive systems, the system takes
rating data from a users run and uses it to train a
neural network based automatic rater, or auto rater,
which can replace the user in bigger runs. Using this
auto rater we were able to make runs of up to 50
generations with 500 individuals per generation. The
best of run pieces generated by the auto raters were
pleasant but were not, in general, as nice as those
generated in user interactive runs.",
- }
Genetic Programming entries for
Bradley E Johanson
Riccardo Poli
Citations