Springer Application of Nature Based Algorithm in Natural Resource Management

Product Description This book highlights the application of nature-based algorithms in natural resource management. It contains case studies and examines the impact of climate change, both short and long term, on management of watersheds in generating both energy and proceeds. From the Back Cover The book describes the utility and efficiency of nature based algorithms in optimization, classification and simulation of natural resource management problems.The book deals with climate change, hydrology, renewable energy and natural ecosystems and tries to find solution to its common uncertainties so that proper mitigation steps can be undertaken to reduce both quantity and probability of such anomalies. The book aims to propose some methodologies which can help related engineers and planners to mitigate the common abnormalities that exist to derail the equilibrium of a natural ecosystem and its biotic as well as abiotic components. About the Author Mrinmoy Majumder is presently working as an Assistant Professor of School of Hydro-Informatics Engineering in National Institute of Technology Agartala,India.He has completed his PhD in 2010 from Jadavpur University. Presently he is doing his teaching and research on Hydro-informatics, Natural resource management and Nature based algorithms. He has published more than 25 papers in various national and international journals and has written 3 books.   Rabindra Nath Barman is presently working as an Assistant Professor of Department of Production Engineering in National Institute of Technology Agartala,India. He has completed his PhD from Jadavpur University in the year of 2012.He is interested in fluid mechanics and water resource principles. He has published more than 25 papers in various national and international journals and has written a few book chapters.