To obtain a successful parameter calibration of conceptual hydrological model,hydrological characteristics of large and small runoff process were chosen for considering different characteristics of generation and concentration.A multi-objective cultural self-adaptive electromagnetism-like mechanism (MOCSEM) algorithm was proposed to solve parameter calibration problem.The MOCSEM was tested,firstly,and applied to multi-objective parameters calibration of Xinanjiang model.After achieving satisfactory performance on parameters calibration problems,the self-identifying parameters combination forecast method was implemented for trying to find a self-identifying parameter combination mode.The results showed that the proposed method can provide more precise forecast results than a single parameter scheme for hydrological forecasters.
