Evolutionary Rhythm Composition with Trajectory-Based Fitness Evaluation
Abstract
Evaluating creativity in musical genetic algorithms (GAs) requires a balance between objective and subjective fitness measures. This research investigates the use of user-defined compositional rules for composition of rhythmic pieces of any length. Complete pieces of music can be created according to personal definitions of creativity without direct human involvement in the evolutionary process. Musical GAs are grouped by their methods of fitness evaluation and the scope of the music they attempt to create. The fitness method can be objective (Dostál 2005)
Cite
Text
Huddleston and Zhang. "Evolutionary Rhythm Composition with Trajectory-Based Fitness Evaluation." AAAI Conference on Artificial Intelligence, 2007.Markdown
[Huddleston and Zhang. "Evolutionary Rhythm Composition with Trajectory-Based Fitness Evaluation." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/huddleston2007aaai-evolutionary/)BibTeX
@inproceedings{huddleston2007aaai-evolutionary,
title = {{Evolutionary Rhythm Composition with Trajectory-Based Fitness Evaluation}},
author = {Huddleston, John and Zhang, Jianna},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2007},
pages = {1868-1869},
url = {https://mlanthology.org/aaai/2007/huddleston2007aaai-evolutionary/}
}