<p>Global climate change intensification and rapid urbanization have caused severe urban waterlogging. This study establishes an integrated decision support system for optimizing the layout of LID (Low Impact Development) facilities, which possess ecological and landscape values, by coupling the SWMM hydrological model with Non-dominated The results indicate that: (1) Bioretention cells, green roofs, and permeable pavements Sorting Genetic Algorithms (NSGA-II/NSGA-III) to mitigate urban waterlogging. are typical urban-friendly LID facilities. The combined layout of these three facilities can achieve 43.92%-67.30% runoff and 44.58%-67.45% pollutant load reductions across 1-year to 10-year return periods. (2) The spatial layouts of LID facilities from NSGA-II and NSGA-III are largely consistent, validating the robustness of optimized LID layouts and offering a methodological framework for tackling climate-change-driven complex stormwater management challenges. (3) The optimal LID layout demonstrates a significant dependence on the return period: it completely mitigates waterlogging under 1-year rainfall scenarios. However, for 3-year, 5-year, and 10-year return periods, the inundation area reduction rates approach 31%, are close to 18%, and merely reach 13%, respectively. Though ineffective for reducing the overall inundation scope at high return periods, LID still reduces rainfall peaks to alleviate high-risk waterlogging severity, thereby mitigating disaster consequences. The spatial layout of LID proves effective in the routine management of urban waterlogging, while also offering considerable urban landscape value. This paper provides technical support for research on source-controlled waterlogging prevention and control, holding significant implications for urban water management.</p>