Juniper Publishers: On Discretization Method for Optimization Control ...

Juniper Publishers: On Discretization Method for Optimization Control ...: Journal of clinical and medical imaging Juniper Publishers Authored by Bassey E Abstract Informed by the lack of definit...

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Hydro-Morphometric Modeling for Flood Hazard Vulnerability Assessment of Old Brahmaputra River Basin in Bangladesh - Juniper Publishers

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Juniper Publishers - Open Access Journal of Engineering Technology Abstract The present research introduces hydro-morphometric modeling to assess flood hazard vulnerability in old Brahmaputra River Basin in Bangladesh. Hydro-morphometric modeling is a spatial analysis in a GIS environment that has been applied for the estimation of flood hazard vulnerability. In this study the developed methodology processes information of seven parameters namely basin, flow accumulation, flow direction, stream order, stream length, stream density and drainage density. By applying Horton's and Strahler's formula of stream order, stream density and drainage density of old Brahmaputra River Basin are calculated. According to Horton's stream density and drainage density reflects the runoff and discharge status of a basin which also revealed that basin having high stream density and drainage density is most vulnerable to flooding. The old Brahmaputra River Basin subdivide...
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Juniper Publishers - Open Access Journal of Engineering Technology Abstract This novel article presents the multi-objective version of the recently proposed Moth-flame optimizer (MFO) known as Non-Dominated Sorting Moth Flame Optimizer (NSMFO). This proposed NSMFO algorithm works in such a manner that it first collects all non-dominated Pareto optimal solutions achieved till the evolution of last iteration limit. The best solutions are then chosen from the collection of all Pareto optimal solutions using a crowding distance mechanism based on the coverage of solutions as navigation strategy to guide moths towards the dominated regions of multi-objective search spaces. For validate the efficiency and effectiveness of proposed NSMFO algorithm is applied to a set of standard unconstrained, constrained and engineering design problems. The results are verified by comparing NSMFO against Multi objective Colliding Bodies Optimizer (MOCBO), Multi objective Particle Sw...
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