A genetic algorithm for composing music

Author:

Matic Dragan1

Affiliation:

1. Faculty of Natural Sciences University of Banjaluka, Banjaluka, Bosnia and Herzegovina

Abstract

In this paper, a genetic algorithm for making music compositions is presented. Position based representation of rhythm and relative representation of pitches, based on measuring relation from starting pitch, allow for a flexible and robust way for encoding music compositions. This approach includes a pre-defined rhythm applied to initial population, giving good starting solutions. Modified genetic operators enable significantly changing scheduling of pitches and breaks, which can restore good genetic material and prevent from premature convergence in bad suboptimal solutions. Beside main principles of the algorithm and methodology of development, in this paper the analysis of solutions in general is also presented, as well as the analysis of the obtained solutions in relation to the key parameters. Some solutions are presented in the musical score.

Publisher

National Library of Serbia

Subject

Management Science and Operations Research

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Statistical Approach for Modeling the Expressiveness of Symbolic Musical Text;Lecture Notes in Computer Science;2024

2. Application of genetic algorithm in model music composition innovation;Applied Mathematics and Nonlinear Sciences;2023-07-21

3. Recent Advances of Computational Intelligence Techniques for Composing Music;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-04

4. Monophonic music composition using genetic algorithm and Bresenham’s line algorithm;Multimedia Tools and Applications;2022-03-29

5. Using genetic algorithms for music composition: implications of early termination on aesthetic quality;International Journal of Information Technology;2022-02-18

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