Hydrological Modeling Using Chicken Swarm Optimization Algorithm – Oued El Melah Case Study (NE of Algeria)

The aim of this article was hydrological modeling using chicken swarm optimization algorithm. Interactions between meteorological and hydrometric data been identified as a major conducting factor stationarity in rainfallrunoff relationships. The methodology employed in this work is rainfall-runoff modeling using chicken swarm optimization algorithm. This approach based on randomly selection and chicken society behavior. For the efficiency evaluation of chicken swarm optimization algorithm, a variety of statistical parameters have been used with acceptable values of Nash–Sutcliffe Efficiency (NSE) with 0.38% and index of agreement (IA) with 0.91%. The important and new results are the hydrological models (empirical models) adaptation to Algerian conditions especially in ungagged basins. Therefore, the proposal of the present modeling is a technique using the CSO method to model the rainfall-runoff relationship and discharge forecasting in the Oued El Melah basin located in Guelma city. CSO proves to be a valuable model for studies of the rainfall and flood runoff response to protection of agglomerations against flooding risks projections.