Application of Honey-Bees Mating Optimizationalgorithm on Estimation of Suspended Sediment Concentration

So far, many attempts have been made to identify the relation between discharge and suspended sediment load.Empirical relations such as sediment rating curves are often applied to determine the average relationship between discharge and suspended sediment load. This type of models generally underestimates or overestimateswhen sediment load are estimated from water discharge using least squares regression of log-transformed variables.To avoid this drawback, it is proposedto employthe HBMO algorithm as a new alternativetool foroptimization of this curve.Model obtained from this algorithmis compared with similar evolutionary algorithm,GA and two different sediment rating curves. The daily streamflow and suspended sediment concentration data from Mad River Catchment near Arcata, USA are used as a case study.Statistics and graphsindicate thatthe HBMO algorithmperforms better than other models in estimation of suspended sediment concentration in the particular datasets used in this study.