GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@TechReport{Johanson98,
  author =       "Bradley E Johanson and Riccardo Poli",
  title =        "GP-Music: An Interactive Genetic Programming System
                 for Music Generation with Automated Fitness Raters",
  institution =  "University of Birmingham, School of Computer Science",
  number =       "CSRP-98-13",
  month =        may,
  year =         "1998",
  keywords =     "genetic algorithms, genetic programming",
  email =        "bjohanso@stanford.edu, R.Poli@cs.bham.ac.uk",
  file =         "/1998/CSRP-98-13.ps.gz",
  URL =          "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1998/CSRP-98-13.ps.gz",
  URL =          "http://graphics.stanford.edu/~bjohanso/gp-music/tech-report",
  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