000			01338nam a22002177a 4500
008			230117b2022 |||||||| |||| 00| 0 eng d
020			_a9781789063240
082			_a519.542 KUM-D
100			_aedited by Kumar, Dasika Nagesh
245			_aEvolutionary algorithms in water resources / _cedited by Dasika Nagesh Kumar and Komaragiri Srinivasa Raju
260			_aLondon _bIWA Publishing _c2022
300			_a204 p.
365			_aUSD _b143.00.
500			_aEvolutionary 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.
650			_aAlgorithms
650			_aNon-linear problems
650			_aOptimization
650			_aMachine learning algorithms
650			_aInternet of Things
650			_aWater research
999			_c90377 _d90377