Now showing items 1-5 of 5
A genetic programming approach to forecast daily electricity demand
(Springer Nature Switzerland AG, 2019)
A number of recent researches have compared machine learning techniques to ﬁnd more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ...
Ensemble gene expression programming: a new approach for evolution of parsimonious streamflow forecasting model
A precise forecast of streamflow in intermittent rivers is of major difficulties and challenges in watershed management, particularly in arid and semiarid regions. The present research study introduces an ensemble gene ...
Month ahead rainfall forecasting using gene expression programming
(American Journal of Earth and Environmental Sciences, 2018)
In the present study, gene expression programming (GEP) technique was used to develop one-month ahead monthly rainfall forecasting models in two meteorological stations located at a semi-arid region, Iran. GEP was trained ...
Genetic programming in water resources engineering: a state-of-the-art review
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 applied on various kind of engineering problems and ...
Modern soft computing techniques and their applications in civil engineering
(12th International Scientific Conference, 2019)
Soft computing (SC) is a group of technigues and methodologies applied to solve a wide range of problems spread in several areas of science. The aim is to exploit tolerance for imprecision, uncertainiy and partial truth ...