论文标题

新颖的跨越树矩阵方法,用于建模和优化大规模的树状水分配网络

Novel Spanning-Tree Matrix Approach to Model and Optimize Large-Scale, Tree-Shaped Water Distribution Networks

论文作者

Senavirathna, K. H. M. R. N., Walgampaya, C. K.

论文摘要

有许多标准用于水分配网络的最佳设计。最常见的标准之一是设计最佳的成本水分分配网络,同时满足液压设计约束。这项研究是为了提出一种名为Spanning-Tree矩阵方法的新型计算方法,该方法可以模拟大型树状水分配网络。测试了一项案例研究,以证明使用跨越基质矩阵方法模型以及蜂蜜-bee交配优化算法的使用,以找到最小化网络成本的管道直径的组合。结果表明,Spanning-Tree矩阵方法成功地模拟了任何大小的树状水分配网络。此外,提出的跨越树矩阵方法具有灵活性,可以适应所施加的任何理想的方程式或设计标准,以及对现代随机优化算法的简单性的元素,以及对现代随机优化算法的简单性元素(即,基因算法,模拟的退伍,静态优化,蜜蜂,蜜蜂,蜜蜂蜜蜂,均可使用遗传算法的优化。

There exist many criteria for the optimal design of water distribution networks. One of the most common criteria is to design the optimal cost water distribution network while satisfying the hydraulic design constraints. This study was carried out to propose a novel computational method named Spanning-Tree Matrix Approach that can model large-scale tree-shaped water distribution networks. A case study was tested to demonstrate the use of the Spanning-Tree Matrix Approach model coupled with the Honey-Bee Mating Optimization algorithm to find the combination of pipe diameters that minimizes the cost of the network. The results show that the Spanning-Tree Matrix Approach is successful in modeling a tree-shaped water distribution network of any size. Moreover, proposed Spanning-Tree Matrix Approach has the flexibility to be adapted to any desirable governing equation or design criteria being imposed, and the element of simplicity to output desired constraint evaluations into a modern stochastic optimization algorithm (i.e., Genetic Algorithm, Simulated Annealing, Ant-Colony Optimization, Honey-Bee Mating Optimization, etc.) for the network optimization purpose.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源