建筑外环境智能化低影响开发OA

Multi-objective optimization algorithms are in urgent need in the design of intelligent low im-pact development(LID)for small-scale building external environments;however the research on the a-daptability of these algorithms remain insufficient.To address this issue,we constructed a multi-objective optimization model for the new campus of Nanyang No.1 Middle School based on a storm water response model,with runoff regulation and construction cost as the core objectives.the performance of five typical algorithms,including NSGA-Ⅱ,NSGA-Ⅲ,C-TAEA,MOEA/D,and SMS-EMOA,was systematically evaluated under different rainfall scenarios in terms of convergence,distribution uniformity,coverage,and computational efficiency.The results indicate that NSGA-Ⅱ and NSGA-Ⅲ exhibited the best overall performance in stability and universality,effectively balancing construction cost and runoff control re-quirements while providing diversified optimal solutions for the early design stage.The findings provide a quantitative basis for algorithm performance comparison and selection in intelligent LID design for build-ing external environments,and further contribute to the practical application and technological promotion of multi-objective optimization algorithms in storm water management.