山区小型水库施工导流方案多准则融合优化方法研究OA

To address the challenge of selecting an optimal construction diversion scheme for reservoirs in mountainous areas characterized by narrow terrain and complex geological conditions,a multi-criteria comparative assessment and quantitative optimization study of diversion alternatives was conducted.A hybrid decision-making framework integrating the Analytic Hierarchy Process(AHP),Fuzzy Comprehensive Evaluation(FCE),and Genetic Algorithm(GA)was established.The AHP-FCE approach was employed to determine the weights of key criteria,including technical feasibility and safety,and to quantitatively evaluate open-channel and tunnel diversion schemes.Subsequently,GA was introduced to perform global optimization of the cross-sectional parameters of the selected scheme.The results indicated that the open-channel diversion scheme achieved a comprehensive score of 83.2,outperforming the tunnel diversion scheme(71.4),and was thus identified as the optimal option.After GA-based optimization,the bottom width of the open channel was adjusted to 1.75 m and the channel depth to 2.35 m,resulting in a 12％reduction in concrete volume and a 7.8％decrease in overall cost.The proposed hybrid model enables a systematic decision-making process integrating qualitative comparison and quantitative parameter optimization for construction diversion.