摘要
根据跨流域调水工程供水需求和经济成本关系,构建了以减小供水成本为目标的供水优化调度模型,并借鉴了并行遗传算法的模式,设计了粗粒度并行粒子群算法,更加高效地求解此类高维、多约束、非线性问题。通过在多核计算机的实例运算,证明了并行算法相比一般算法具有计算速度快、精度高的优点,并行算法是求解跨流域调水优化问题的有效方法。
According to the relationship between requirement and economic cost of inter-basin water transfer project,we present a water supply optimal operation model to reduce costs.We design the coarse-grained parallel particle swarm optimization algorithm,refer to mode of the parallel genetic algorithms.It can well resolve the high dimensional,multi-constraint and nonlinear problem.The test result of a multi-core computer proves that the parallel algorithm is more efficient and more accurate than the simple mode,and the algorithm is an effective method for the inter-basin water transfer optimization
出处
《中国农村水利水电》
北大核心
2015年第3期10-13,共4页
China Rural Water and Hydropower
基金
水利部公益性行业科研专项经费项目(201401015)
关键词
跨流域调水
优化调度
粒子群算法
粗粒度并行算法
inter-basin water transfer
optimal operation
particle swarm optimization
coarse-grained parallel optimization algorithm
