Yi Zuo

Papers

Total Citations

H-Index

About

Yi Zuo is a researcher in computational intelligence and financial forecasting, with a particular focus on evolutionary computation techniques. Their most cited work, "Application of grammatical evolution to stock price prediction" (2020), demonstrates a novel application of grammatical evolution (GE)—a form of evolutionary computation that evolves executable programs or functions to solve complex optimization problems. In this study, Zuo explores how GE can be harnessed to model and predict stock price movements, addressing the challenge of finding optimal solution representations for financial time series data. While their citation count is currently modest at 4, this work represents an important intersection of evolutionary algorithms and quantitative finance, offering a flexible, programmatic approach to market prediction that could inspire further research in automated trading systems and adaptive financial modeling. Zuo's contributions highlight the potential of grammatical evolution beyond traditional engineering domains, opening pathways for students and researchers interested in applying computational intelligence to real-world economic forecasting challenges.