QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting
<|reference_start|>QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting: 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.<|reference_end|>
@article{xin2024qxeai:,
    title={QxEAI: Quantum-like evolutionary algorithm for automated probabilistic
  forecasting},
    author={Kevin Xin, Lizhi Xin},
    journal={arXiv preprint arXiv:2405.03701},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.03701},
    primaryClass={physics.soc-ph cs.AI cs.LG cs.NE econ.GN q-fin.EC}
}