By Mrinmoy Majumder
This publication highlights the applying of nature-based algorithms in usual source administration. The ebook contains the methodologies to use what common flowers or fauna do to optimize their survival. an identical process used to be used to optimize renewable strength new release from water assets, maximization of benefit from crop harvesting, wooded area source administration and decision-making reviews. those reviews can be utilized for instance for locating strategies of the opposite maximization or minimization difficulties that are universal in traditional source management.
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Extra info for Application of Nature Based Algorithm in Natural Resource Management
Rainfall impacts the production efficiency of the essential services (like water, electricity, and gas), agriculture, stock exchanges, and various other water-dependent industries. Laypeople also are affected by rainfall events. Rainfall can impact daily water supplies from the water treatment plant (WTP) of any city because of the increase in suspended solids and pollutants in surface water. The chemical dozing pattern must be adjusted to prevent any excess of toxicity from affecting the quality of the treated water.
4 Methodology The main objective of the present investigation is to optimize the load factor in such a manner that it attains a value of 1 or close to 1 because at that value the average load and peak demand become equal, which means the power plant can function at an efficiency of nearly 100%. The variables for the present study are the amount of rainfall and demand for power. The constraints of the study were as follows: Precipitation in the Catchment Area of the SSHP (Rain) < 2,500 mm Demand for Power ( D ) < 20 MW The objective function is taken as the resulting value of the subtraction of the load factor from one.
Org/ content/wildlife/detail/porcupine. Feb 2012 Fahmy AA (2012) Using the Bees Algorithm to select the optimal speed parameters for wind turbine generators. J King Saud Univ Comput Inf Sci 24(1):17–26 Hsieh T-J, Hsiao HF, Wei-Chang Y (2011) Forecasting stock markets using wavelet transforms and recurrent neural networks: an integrated system based on artificial bee colony algorithm. Appl Soft Comput 11(2):2510–2525 Karaboga D, Ozturk C (2011) A novel clustering approach: Artificial Bee Colony (ABC) algorithm.