Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression Through Vicinal Jensen Gap Minimization

Created by W.Langdon from gp-bibliography.bib Revision:1.8713

@Article{Zhang:2026:ieeeTEC2,

• author = "Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang",
• title = "Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression Through Vicinal {Jensen} Gap Minimization",
• journal = "IEEE Transactions on Evolutionary Computation",
• note = "Early Access",
• keywords = "genetic algorithms, genetic programming, Overfitting, Training, Risk minimization, Finite difference methods, Complexity theory, Noise, Deep learning, Contracts, Training data, Perturbation methods, symbolic regression, evolutionary feature construction, overfitting, vicinal risk minimization",
• ISSN = "1089-778X",
• DOI = "10.1109/TEVC.2025.3581739",
• notes = "also known as \cite{11045734}",

}

Genetic Programming entries for Hengzhe Zhang Qi Chen Bing Xue Wolfgang Banzhaf Mengjie Zhang

Citations