In the construction field, beyond studying construction methods and the performance of building materials, research on Construction Site Layout Planning (CSLP) is a crucial area of focus. Optimizing the placement of auxiliary facilities to minimize movement distances while enhancing safety represents a complex problem involving numerous variables. In this study, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to enhance the planning of construction site layouts by tackling two main goals at once: reducing the distance of material and worker movements, and improving overall site safety. The method is utilized to generate a set of Pareto-optimal solutions that maintain diversity and offer a range of viable options. The findings indicate that the proposed approach performs effectively in identifying optimal trade-offs between the objectives. This research highlights the capability of NSGA-II in addressing complex, multi-objective challenges in construction site planning and lays the groundwork for future exploration in this domain.