Climate Control Planning for Manufacturing Industry using a Hybrid Optimization of BA and NN
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چکیده
Due to sporadic climate change and global warming, world have signed international protocols promising to reduce their nation's emissions. This study focuses on the application of the bees algorithm, embedded with an artificial neural network, to determine practical yearly reductions for minimizing oil, natural gas, and coal emissions as by-products of energy consumption in Canada's manufacturing sector based on the Copenhagen Targets for Canada for 2020. Index Terms – Bees Algorithm, Artificial Neural Networks, Optimization, Emission reduction, Sensitivity analysis
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تاریخ انتشار 2013