Algorithms for the optimisation of Random Forest parameters, resulting in enhanced precision and recall in fraud detection. This paper examines evolutionary algorithms such as GA, DE, and GP, outlining their characteristics and uses, but it does not include empirical evaluation or insights on hybridisation (15). The GA–RF hybrid utilises these principles by combining Genetic Algorithms with Random Forest to improve scalability, accuracy, and feature interpretability in financial technology fraud prediction.