Titlebook: Application of Nature Based Algorithm in Natural Resource Management; Mrinmoy Majumder,Rabindra Nath‘Barman Book 2013 Springer Science+Bus

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change, both short and long term, on management of watersheThis 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

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Emerging Environmental Technologies procedure of the honey bee. In this study the honey bee algorithm is used to rate different input variables or factors. This rating methodology makes the selection process neutral, independent, and free of personal preferences, which are often encountered when scoring is done on the basis of expert opinion in any selection mechanisms.

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Application of a Genetic Algorithm to Predict the Growth Rate of , in Urban Forestthe toad based on its various habitats and on climate patterns along with food availability. The impact from urbanization and deforestation is also considered. Overall the study tries to analyze the impact of urbanization and changes in climate patterns on the Asian common toad using a genetic algorithm technique.

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A Neuro-Fuzzy Approach to Selecting Crops in Vertical Irrigationps can be cultivated inside apartments due to the controlled nature of the inside environment. Thus the present study will try to find a methodology for selecting suitable species of crop for indoor cultivation ensuring the desired level of yield under minimum uncertainty.

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Application of Neuro-Fuzzy Techniques in the Estimation of Extreme Eventsl models. The present study uses the same concept to develop a model that can predict the occurrence and frequency of extreme events with the help of a data set categorized by the application of fuzzy logic.

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