Covariance matrix adaptation evolution strategy for improving machine learning approaches in streamflow prediction

• Main Authors: Ikram, Rana Muhammad Adnan, Goliatt, Leonardo, Kisi, Ozgur, Trajkovic, Slavisa, Shahid, Shamsuddin
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/103107/1/ShamsuddinShahid2022_CovarianceMatrixAdaptationEvolution.pdf; http://eprints.utm.my/103107/; http://dx.doi.org/10.3390/math10162971
• Institution: Universiti Teknologi Malaysia

Precise streamflow estimation plays a key role in optimal water resource use, reservoirs operations, and designing and planning future hydropower projects. Machine learning models were successfully utilized to estimate streamflow in recent years In this study, a new approach, covariance matrix adapt...