The aim of this article is Hydrological modeling using Chicken Swarm Optimization Algorithm. Interactions between meteorological and hydrometric data been identified as a major conducting factor stationarity in rainfall-runoff relationships. The methodology used in this work is rainfall-runoff modeling is Chicken Swarm Optimization Algorithm. This approach based on randomly selection and chicken society behaivoir. For the efficiency evaluation of Chicken Swarm Optimization Algorithm, a variety of statistical parameters have been used with acceptable values of Nash–Sutclife Efciency (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 modelling 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.