INTELLIGENT HYBRID TAGUCHI-GENETIC ALGORITHM FOR MULTI-CRITERIA OPTIMIZATION OF SHAFT ALIGNMENT IN MARINE VESSELS

Intelligent Hybrid Taguchi-Genetic Algorithm for Multi-Criteria Optimization of Shaft Alignment in Marine Vessels

An intelligent hybrid Taguchi-genetic algorithm (IHTGA) is used to optimize bearing offsets and shaft alignment in a marine vessel propulsion system.The objectives are to minimize normal shaft stress and shear force.The constraints are permissible reaction force, bearing stress, shear force, and bending moment in the shaft thrust flange under cold

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Effectiveness of matrix measure in finding periodic solutions for nonlinear systems of differential and integro-differential equations with delays

In this manuscript, under the matrix measure and some sufficient conditions, we will Braces overcame all difficulties and challenges related to the fundamental matrix for a generalized nonlinear neutral functional differential equations in matrix form with multiple delays.The periodicity of solutions, as well as the uniqueness under the considered

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mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study.

Differences in mRNA expression levels have been observed in failing versus non-failing human hearts for several membrane channel proteins and accessory subunits.These differences may play a causal role in electrophysiological changes observed in human heart failure and atrial fibrillation, such as action potential (AP) prolongation, increased AP tr

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The Feasibility of Machine-learning Methods to Extract the Surface Evaporation Quantity using Satellite Imagery

Background and Objectives: Climate phenomena Spill Mop Kits such as quantity of surface evaporation are affected by many environmental factors and parameters, which makes modeling and data mining difficult.On the other hand, the estimation of surface evaporation for a target station can be difficult as a result of partial or complete lack of local

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