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AAAI07-309.pdf
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🔗 Source: cdn.aaai.org
📊 Size: 64 KB
👤 Author: John Huddleston
⬇️ Downloads: 60

Summary

Researchers John Huddleston and Dr. Jianna Zhang investigate the use of user-defined compositional rules for generating rhythmic music pieces of any length using musical genetic algorithms (GAs). They focus on evaluating creativity in musical GAs, which requires a balance between objective and subjective fitness measures. The research explores the use of trajectory-based fitness evaluation, where user-defined fitness trajectories are used to evaluate the fitness of individuals in a population. The trajectories are classified as either column or row trajectories, which define expected values for all instruments as a function of time or expected interactions amongst a set of instruments, respectively. The study tests three trajectories, including one column trajectory and two row trajectories, and runs four sets of tests to evaluate the effectiveness of the fitness methods.

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Researchers John Huddleston and Dr.

Technical Information

  • File Format: PDF
  • File Size: 64 KB
  • Pages: 2
  • Language: EN
  • Author: John Huddleston
  • Total Downloads: 60
  • Last Updated: 1 month ago

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