Evolutionary algorithms in water resources /
edited by Kumar, Dasika Nagesh
Evolutionary algorithms in water resources / edited by Dasika Nagesh Kumar and Komaragiri Srinivasa Raju - London IWA Publishing 2022 - 204 p.
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.
9781789063240
Algorithms
Non-linear problems
Optimization
Machine learning algorithms
Internet of Things
Water research
519.542 KUM-D
Evolutionary algorithms in water resources / edited by Dasika Nagesh Kumar and Komaragiri Srinivasa Raju - London IWA Publishing 2022 - 204 p.
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.
9781789063240
Algorithms
Non-linear problems
Optimization
Machine learning algorithms
Internet of Things
Water research
519.542 KUM-D