Application of genetic programming in hydrology

Abstract

With increasing complexity and accuracy of different phenomenon modeling, attentions focus on using and improving some tools that extract system equations by simple rules. Commonly, these tools are user-friendly and try to minimize error criterion between real (observed) and obtained values by system rules. An appropriate water resource modeling requires assistance of computer model to provide connections in data sets, management and decision makers. The purpose of this chapter is to review genetic programming (GP) applications in the hydrology and consider future aspects for research and application. Previous applications of GP presented its capabilities to overcome some system characteristics such as the high-dimensional, nonlinearity, and convexity. GP is flexible to set with other systems in both internal and external states.