Application of Nature Based Algorithm in Natural Resource Management [Hardcover]

This book highlights the application of nature-based algorithms in natural resource management. The book includes the methodologies to apply what natural flora or fauna do to optimize their survival. The same technique was used to optimize renewable energy generation from water resources, maximization of profit from crop harvesting, forest resource management and decision-making studies. These studies can be used as an example for finding solutions of the other maximization or minimization problems which are common in natural resource management.

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.

Selection of Optimized Location for Eco-Parks with the help of Ant Colony Optimization.-
Application of Hive Theory for identification of suitable habitats for Porcupines.-
Tradeoff Analysis between Rainfall and Load Factor of a Small Scale Hydro Power Plant by Particle Swarm Optimization.-
Application of Artificial Neural Network in Short Term Rainfall Forecasting.-
Application of Genetic Algorithm for prediction of growth rate of Bufo Melanostictus in an Urban Forest.-
Comparison of Nature Based Algorithms in Impact Analysis of Climate Change on Water Resources.-
A Neuro-Fuzzy approach for selection of crops in vertical irrigation.-
Application of Neuro-Fuzzy techniques in estimation of Extreme Events.-
Impact of Climate Change on Selection of Sites for Lotus Cultivation.-
Comparison of Bat and Fuzzy Clusterization for Identification of Suitable Locations for Small Scale Hydropower Plant.-
Impact of Climate Change on Ecological Sensitivity of Wetlands.-
Impact of Climate Change on Hydrologic Sensitivity of Sunderban Reserve Forest.-
Fuzzy Based Ilc<