Flyover Optimization

This dataset contains the training samples, validation metrics, Python codes, and numerical data underlying all figures presented in the paper “Radial Basis Function Networks for Flyover Design Optimization: A Metamodeling Approach for Computational Efficiency in Multi‑Objective Infrastructure Optimization.” The repository includes: • Python scripts for Radial Basis Function (RBF) network training, validation, and optimization workflows. • Documentation describing input formats, parameter ranges, and usage instructions for reproducibility. All materials are released under a Creative Commons Attribution 4.0 International (CC‑BY 4.0) license and are publicly accessible to support transparent and reproducible research in infrastructure optimization.