Summary The use of Artificial Intelligence (AI) has increased since the middle of the 20th
century as seen in its application in a wide range of engineering and science problems. The …

The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …

Monthly stream-flow forecasting can yield important information for hydrological applications
including sustainable design of rural and urban water management systems, optimization of …

This paper applies genetic programming (GP) to perform automatic feature extraction from
original feature database with the aim of improving the discriminatory performance of a …

This study proposes genetic programming (GP) as a new approach for the explicit
formulation of daily suspended sediment–discharge relationship. Empirical relations such as …

Accurate prediction of streamflow is an essential ingredient for both water quantity and
quality management. In recent years, artificial intelligence (AI) techniques have been …

This is a pioneer study that presents genetic programming (GP) as a new tool for prediction
of local scour downstream of grade-control structures. The objective of this study is to …

Iran is a part of the arid and semi-arid regions of the world and many of its areas suffer from
repeated droughts. Due to the fact that recent droughts have put a lot of pressure on water …

This study presents gene-expression programming (GEP), which is an extension to genetic
programming, as an alternative approach to modeling stage–discharge relationship. The …

Data Warehousing and Mining (DWM) is the science of managing and analyzing large
datasets and discovering novel patterns and in recent years has emerged as a particularly …