Research on Penetrating Underground Structures through Buildings Using BIM Based on the Ant Colony Algorithm

This study explores the application of the Ant Colony Algorithm (ACA) in Building Information Modeling (BIM) for the penetration of underground structures through buildings. The Ant Colony Algorithm, inspired by the foraging behavior of ants, is an effective heuristic optimization method, particularly suited for solving complex path optimization problems. By integrating BIM with ACA, this research proposes an innovative approach to optimize penetration paths. The method leverages the advanced computational capabilities of ACA to enhance the efficiency and accuracy of path optimization. Experimental results demonstrate that the ACA-based approach significantly reduces construction time and resource consumption, while also improving safety and precision in the penetration process. This study highlights the advantages of using computational algorithms in engineering applications and suggests a promising direction for future research in this field.