Application of Chaos Theory and Genetic Programming in Runoff Time Series

Abstract. Nowadays, prediction of runoff is very important in water resources management and their permanent development. Along with scientific advances in recent years, various intelligent methods and regression and mathematical methods have been presented to estimate the runoff. In this paper, Two different methods are used, Chaos analysis and genetic programming. The performances of models are analyzed and result showed that runoff have had chaotic behavior. Application of genetic programming models in estimating the runoff is also studied in this paper. The data that has been used has chaotic behavior and a mathematical model of genetic programming with rainfall and runoff as model inputs was result