To increase the photovoltaic (PV) power-generation conversion, MPPT is primary concern. This works explains about grey wolf optimization (GWO - RNN)-based hybrid maximum power point tracking (MPPT) method to get quick and with zero oscillation tracking. The GWO – RNN based doesn’t need additional sensor for measuring irradiance temperature variables. NLT used multi-level inverter (MLI) control ...

Image highlight plays a major role in different interactive media and computer vision technology such as image fragmentation, recognition matching. The original data will be unclear if the contains highlights. Moreover, it may reduce robustness non-transparent well glassy objects also reduces accuracy. Hence, removal of highlights is an extremely crucial thing dome digital enhancement. This to ...

The first step in the design phase of Brushless Direct Current (BLDC) motor is formulation mathematical framework and often used due to its analytical structure. Therefore, BLDC problem considered be an optimization problem. In this paper, model presented, it a basis for emphasizing methods. experimentation has 78 non-linear equations, two objective functions, five variables, six constraints, s...

An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance exploration and development capabilities, premature convergence. The benefits from particle swarm a dimension learning-based hunting search strategy. In strategy, linear variable social learning self-learning are introduced improve population’s ability communicate info...

The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time. The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution updating mechanism of the search agent by th...