Dynamic Population Genetic Algorithms For Hyperparameter Optimization In Quantitative Trading Models

Author

Jarett H. Artman, University of Central FloridaFollow

Keywords

Genetic Algorithms, Machine Learning, AI, Finance

Abstract

In the natural world, the earliest form of learning and optimization emerged through evolution, with species adapting only across generations rather than within a single lifespan.

Completion Date

2025

Semester

Spring

Committee Chair

Borowczak, Mike

College

College of Engineering and Computer Science

Identifier

DP0029267

Release Date

11-11-2025

Document Type

Thesis

STARS Citation

Artman, Jarett H., "Dynamic Population Genetic Algorithms For Hyperparameter Optimization In Quantitative Trading Models" (2025). Graduate Thesis and Dissertation post-2024. 100.
https://stars.library.ucf.edu/etd2024/100