TY  - BOOK
AU  - edited by Kumar, Dasika Nagesh
TI  - Evolutionary algorithms in water resources
SN  - 9781789063240
U1  - 519.542 KUM-D 
PY  - 2022///
CY  - London
PB  - IWA Publishing
KW  - Algorithms
KW  - Non-linear problems
KW  - Optimization
KW  - Machine learning algorithms
KW  - Internet of Things
KW  - Water research
N1  - Evolutionary algorithms and allied fields are getting more visibility as well as familiarity due to their numerous flexibilities such as handling high-dimensional non-linear problems and more. This book will help budding researchers to formulate their research problems, and comprises 10 chapters: three on optimization, five on machine learning algorithms, one on Internet of Things, and one on remote sensing. In Focus – a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector
ER  -