Abstract
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.
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