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Evolutionary Music and Fitness Functions

  • E. Bilotta
  • P. Pantano
  • V. Talarico
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 1)

Abstract

Is it possible to obtain pleasant evolved music by means of a fitness function, without human intervention? In this work a method based on a genetic algorithm to produce automatic music is presented. In particular we developed a fitness function based on consonance, which allows to evaluate the “pleasantness” of a sequence of notes generated by an algorithm. The fitness function has then been used within genetic algorithms to help the resulting melodies evolve. This function has been used with cellular automata. An initial sequence will allowed to evolve within a space-time pattern and then turned into music as is suitable. The use of the Fitness function permits the search for and the choosing of appropriate rules, which generate pleasant melodic sequences. The best results are obtained for CA whose state varies between 0 and 3 and for small lattice.

Keywords

Genetic Algorithm Fitness Function Cellular Automaton Artificial Life Evolution Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • E. Bilotta
    • 1
  • P. Pantano
    • 1
  • V. Talarico
    • 1
  1. 1.Centro Interdipartimentale della ComunicazioneUniversità della CalabriaItaly

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