Demand Estimation of Water Resources based on Coupling Algorithm

Demand estimation of water resources is an important basic content in the process of urban water resources planning. To predict water resource demand accurately, a coupling algorithm based on bacterial foraging optimization algorithm (BFOA) and glowworm swarm optimization (GSO) is employed to estimate the demand of water resources in this paper. The historical data (2003-2015) is divided into two parts for convenience in the simulation experiments, one (2003-2012) is trained to gain the weighting factors of the estimation and the other (2013-2015) is used for predicting and evaluating water resources. In addition, the simulation results show that the coupling algorithm achieves a higher accuracy compare with BFOA and GSO on prediction.