Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models?

摘要: ABSTRACTIn recent years sampling approaches have been used more widely than optimization algorithms to find parameters of conceptual rainfall–runoff models, but the difficulty calibration such models remains in dispute. The problem finding a set optimal for is interpreted differently various studies, ranging from simple relatively complex and difficult. In many papers, it claimed that novel approaches, so-called metaheuristics, outperform older ones when applied this task, contradictory opinions are also plentiful. present study aims at two lumped hydrological HBV GR4J, by means large number metaheuristic algorithms. tests performed on four catchments located regions with similar climatic conditions, different continents. comparison shows that, although found may somehow differ, performance criteria achieved s...