Comparative analysis of construction site layout optimization using NSGA-II and a hybrid NSGA-II-MOPSO algorithm

This study presents a comparative analysis of construction site layout planning using the NSGA-II and hybrid NSGA-II-MOPSO multi-objective optimization algorithms. The objective is to simultaneously minimize material transportation distance and maximize on-site safety by optimizing the spatial arrangement of auxiliary facilities and tower cranes. Various layout solutions were generated and evaluated based on risk zones, facility proximity, and crane operational parameters. The results demonstrate that the hybrid NSGA-II-MOPSO algorithm produces a more diverse and superior set of Pareto-optimal solutions compared to the standard NSGA-II. A balanced solution found offers a practical trade-off between efficiency and safety, making it a suitable candidate for implementation. The study highlights the effectiveness of evolutionary algorithms in solving complex CSLP problems and provides a decision-making framework for selecting layouts based on project-specific priorities.