The Optimization Design Method of Geogrid Slope Support System Based on Carbon Benefit Evaluation and AI Agent Model

This article presents an optimization design method for geogrid slope support system based on carbon benefit evaluation and artificial intelligence agent model. This method includes constructing a basic information list, performing finite element calculation and analysis of geogrid slope safety factor, applying ROA (Remora Optimization Algorithm) algorithm to optimize support vector machine regression model, and establishing a multi-objective optimization method that couples meta-heuristic algorithm LSO (Light Spectrum Optimizer) algorithm with surrogate model. This method aims to balance the total carbon emissions of the project and slope stability, and optimize the number of layers and length of geogrid arrangement.