Study on Multi-Objective Optimization of Sponge Facilities Combination at Urban Block Level: A Residential Complex Case Study in Nanjing, China

Urban block-scale sponge system design needs address how to specify the optimal approach combine number of areas and types facilities for diverse land conditions objectives, while ensuring performance economic efficiency. With gradual application multi-objective optimization algorithms in cities, combinatorial problem solving based on is more accurate efficient than traditional methods designer’s experience. This study utilizes a residential complex Nanjing as practical example, selects six typical construct combination model facilities, employs SPEA-2 algorithm determine facility quantities. Finally, 186,754 combinations were calculated. For three objectives economy stormwater infiltration storage, runoff pollution control, average overall infiltration, economy, numbers obtained.