TY  - BOOK
AU  - Majumder,Mrinmoy
AU  - Barman,Rabindra Nath
ED  - SpringerLink (Online service)
TI  - Application of Nature Based Algorithm in Natural Resource Management
SN  - 9789400751521
AV  - GB3-5030 
U1  - 550 23
PY  - 2013///
CY  - Dordrecht
PB  - Springer Netherlands, Imprint: Springer
KW  - Earth sciences
KW  - Renewable energy resources
KW  - Climate change
KW  - Physical geography
KW  - Renewable energy sources
KW  - Alternate energy sources
KW  - Green energy industries
KW  - Environmental sciences
KW  - Nature conservation
KW  - Earth Sciences
KW  - Earth System Sciences
KW  - Climate Change Management and Policy
KW  - Math. Appl. in Environmental Science
KW  - Renewable and Green Energy
KW  - Nature Conservation
N1  - From the Contents: 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 -- Comparison of Neuro-Fuzzy techniques in estimation of Extreme Events -- Comparison of Conceptual and Nature Based Models in prediction of subsurface flow
N2  - 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
UR  - http://dx.doi.org/10.1007/978-94-007-5152-1
ER  -