Cooperative Coevolutionary Genetic Algorithm For Water Resources Optimization Model And Its Application

摘要：

　　To solve the complexity of multi-public sources water allocation,the optimization model using the multi-objective function and multi-constrained conditions of the cooperative coevolution genetic algorithm(CCGA)was proposed for water resources management.The objective function was the highest benefit to both economy and society,while the constraints included available water supply amount,water demand,water supply projects capacity,ecology protection and non-negativity.Water demand ratio parameters for each public source were proposed which could be optimized by CCGA.The case study in Suibianhe Region showed that the proposed model was capable of allocating water resource efficiently and can provide useful information for water resources integrated management.

关键词： cooperative coevolution genetic algorithm water resources optimization multi-water sources water-using units

作者: Wei Xu Zengchuan Dong Zhenchun Hao Dunyu Zhong Hongze Wang

作者单位: College of Hydrology and Water Resources(Hohai University),Nanjing210098,China

会议类型: 国际会议

会议名称: 2017年第2届联合国际信息技术、机械与电子工程国际会议(JIMEC2017)

会议地点: 重庆

会议语种:英文

页码: 40-43

在线出版日期: 2017-10-04（万方平台首次上网日期，不代表论文的发表时间）