De-Guang Li

Machine Learning-Driven Multi-Objective Sizing Optimization, Performance Prediction and Feature Correlation Analysis of Vehicle Frame

An efficient optimization framework for frame structures that integrates multi-objective size optimization, machine learning-based performance prediction, and feature correlation analysis is proposed, achieving a favorable combination of optimization effectiveness, prediction accuracy, and design efficiency.