Water supply network reorganization and expansion optimization method based on improved artificial fish school algorithm

The invention discloses a water supply network reorganization and expansion optimization method based on an improved artificial fish school algorithm. According to the water supply network reorganization and expansion optimization method based on the improved artificial fish school algorithm, analog simulation is carried out on the operation process of a water supply network after reorganization and expansion through EPANET, acquired simulated data are used for setting up a water supply network model through a BP neural network method, pressure difference of supply and demand and reorganization and expansion cost serve as evaluation indexes when the water supply network after reorganization and expansion is operated to set up an optimization model, and the artificial fish school algorithm is adopted to carry out optimal computation on the pipe diameter and output of supplying water. According to the water supply network reorganization and expansion optimization method based on the improved artificial fish school algorithm, hydraulic computation power of EPANET and nonlinear fitting capability of the BP neural network are completely expressed, the built model is simple and easy to achieve, along with increasing of training data, the accuracy of the model is further improved, the improved artificial fish school algorithm is used for optimizing the water supply network, the defects of local extremum can be overcome, and the rate of convergence is high.