Evolutionary Music Composition - Creative Algorithms

Authors

  • Fatima Ali Professor of Healthcare Data Analytics, Sahara Institute of Science and Technology, Cairo, Egypt Author

Keywords:

Evolutionary algorithms, Music composition, Creative algorithms, Evolutionary optimization

Abstract

Evolutionary algorithms have found novel applications in the field of music composition, particularly in generating aesthetically pleasing and innovative musical pieces. This paper explores the use of evolutionary optimization techniques for creating music, focusing on the algorithms and methodologies employed. We delve into various aspects of evolutionary music composition, including representation schemes, fitness evaluation, and population management strategies. Additionally, we discuss the challenges and future directions in this field, highlighting the potential for further advancements in computational creativity.

Downloads

Download data is not yet available.

References

Dixit, Rohit R. "Factors Influencing Healthtech Literacy: An Empirical Analysis of Socioeconomic, Demographic, Technological, and Health-Related Variables." Applied Research in Artificial Intelligence and Cloud Computing 1.1 (2018): 23-37.

Veronin, Michael A., et al. "Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: A quantitative view of the epidemic." Drug, Healthcare and Patient Safety (2019): 65-70.

Pillai, Aravind Sasidharan. "A Natural Language Processing Approach to Grouping Students by Shared Interests." Journal of Empirical Social Science Studies 6.1 (2022): 1-16.

Venigandla, Kamala, and Venkata Manoj Tatikonda. "Improving Diagnostic Imaging Analysis with RPA and Deep Learning Technologies." Power System Technology 45.4 (2021).

Schumaker, Robert, et al. "An Analysis of Covid-19 Vaccine Allergic Reactions." Journal of International Technology and Information Management 30.4 (2021): 24-40.

Elath, Harshini, et al. "Predicting Deadly Drug Combinations through a Machine Learning Approach." PACIS. 2018.

Ravi, Kiran Chand, et al. "AI-Powered Pancreas Navigator: Delving into the Depths of Early Pancreatic Cancer Diagnosis using Advanced Deep Learning Techniques." 2023 9th International Conference on Smart Structures and Systems (ICSSS). IEEE, 2023.

Kumar, Bonda Kiran, et al. "Predictive Classification of Covid-19: Assessing the Impact of Digital Technologies." 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2023.

Downloads

Published

2023-04-17

How to Cite

[1]
Fatima Ali, “Evolutionary Music Composition - Creative Algorithms”, J. of Artificial Int. Research and App., vol. 3, no. 1, pp. 29–38, Apr. 2023, Accessed: Jul. 01, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/9

Similar Articles

1-10 of 25

You may also start an advanced similarity search for this article.