A decomposition approach for large-scale drinking water supply networks

Optimizing production and distribution of drinking water in large-scale networks is a very challenging problem. The resulting optimization models belong to the class of hard nonconvex nonlinear mixed integer problems. To this inherent theoretical complexity add some specific complicating restrictions stemming from the diversity of practical drinking water networks. This note discusses a decomposition approach used to solve a practical instance of this challenging optimization problem