arXiv · 2405.03701
QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting
Abstract
Forecasting, to estimate future events, is crucial for business and decision-making. This paper proposes QxEAI, a methodology that produces a probabilistic forecast that utilizes a quantum-like evolutionary algorithm based on training a quantum-like logic decision tree and a classical value tree on a small number of related time series. We demonstrate how the application of our quantum-like evolutionary algorithm to forecasting can overcome the challenges faced by classical and other machine learning approaches. By using three real-world datasets (Dow Jones Index, retail sales, gas consumption), we show how our methodology produces accurate forecasts while requiring little to none manual work.
Explore related subjects
Keep this discovery
Kevin Xin, Lizhi Xin. 2024-05-02. QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting. https://arxiv.org/abs/2405.03701
Cite the original work for its findings. Save a collection to share your selection of sources.