in this paper, a method based on binary-coded genetic algorithm is proposed to explore an optimization method, for obtaining an optimal elliptical tank. this optimization method enhances the rollover threshold of a tank vehicle, especially under partial filling conditions. minimizing the overturning moment imposed on the vehicle due to c.g. height of the liquid load, lateral acceleration and ca...

this paper proposes an optimized control policy over type one diabetes. type one diabetes is taken into consideration as a nonlinear model (augmented minimal model), which is implemented in matlab-simulink. this model is developed in consideration of the patient's conditions. there are some uncertainties in the regarded model due to factors such as blood glucose concentration, daily meals ...

today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in ecology. purpose of this research is to predict and map the distribution of tetranychus urticae koch (acari: tetranychidae) using mlp neural networks combined with genetic algorithm in surface of farm. population data of pest was obtained in 2016 by sampling in 1...

Abstract With the combination of Mobile Edge Computing (MEC) and next generation cellular networks, computation requests from end devices can be offloaded promptly accurately by edge servers equipped on Base Stations (BSs). However, due to densified heterogeneous deployment BSs, device may covered more than one BS, which brings new challenges for offloading decision, that is whether where offlo...

The use of animal models in modeling of human genetic disease has many advantages. In some cases, however, this method may not be applicable due to some limitations, such as differences in tissue composition, anatomy and physiology of humans and animals. Isogenic human disease models are a population of cells that are selected or engineered to model a specific genetic disease, in vitro. They ar...