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作 者:李牧翰 赵喜萍 李一平[2] LI Mu-han;ZHAO Xi-ping;LI Yi-ping(College of Water Conservancy Science and Engineering,Taiyuan University of Technology,Taiyuan Shanxi 030024,China;College of Environment,Hohai University,Nanjing Jiangsu 210098,China)
机构地区:[1]太原理工大学水利科学与工程学院,山西太原030024 [2]河海大学环境学院,江苏南京210098
出 处:《计算机仿真》2024年第9期460-464,共5页Computer Simulation
基 金:国家自然科学基金重点项目(52039003)。
摘 要:为了确保阳泉市水资源得到有效利用,引入粒子群算法对阳泉市水资源多目标数据进行优化配置。以阳泉市水资源变化参数为基础,通过约束条件确定水资源优化配置数据,将决策变量作为水资源区域划分依据,完成子区分类、水源组成、用户组成。在分类情况下获取区域总缺水量,将区域最小缺水量作为目标函数,构建阳泉市水资源多目标优化配置模型。利用粒子群算法编码水资源二维式数据,根据适应度结果修正粒子群迭代,通过求解模型输出最优解,完成阳泉市水资源多目标优化配置。实验测试结果表明,采用所提方法能够有效实现阳泉市水资源综合配置。In order to ensure the effective utilization of water resources in Yangquan City,a particle swarm optimization algorithm was introduced to optimize the multi-objective data of water resources in Yangquan City.Based on the variation parameters of water resources,the optimization data of water resources were determined through constraint conditions.Then,decision variables were used as the basis for the regional division of water resources.After that,the sub-area classification,water source composition,and user composition were completed.In the case of classification,the total water shortage in the region was obtained.Meanwhile,the minimum water shortage in this region was taken as the objective function to construct a multi-objective optimization model for water resources in Yangquan City.Moreover,the two-dimensional data of water resources were encoded by the particle swarm algorithm.According to the fitness results,the iteration of the particle swarm was corrected.Furthermore,the optimal solution was outputted by solving the model.Finally,the multi-objective optimization of water resources in Yangquan City was achieved.Experimental results show that the proposed method can effectively realize the synthetical disposition of water resources in Yangquan City.
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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