Construction Site Layout Optimization Algorithm Based on MOPSO

This paper investigates the construction site layout problem. A multi-objective optimization problem is formulated with the objectives of minimizing the layout cost and the negative impact coefficient of the site scheme. A piecewise linear attenuation model is established to describe the negative influences among different areas, and the penalty function method is employed to handle the constraint conditions. Subsequently, the problem is solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. Instead of seeking a single optimal solution, this study focuses on finding as many mutually non-dominated solutions as possible for decision-makers to choose from. The effectiveness of the proposed algorithm is validated through experimental case studies. The results demonstrate that the method can provide reliable layout schemes that can be applied in practical decision-making processes.