نتایج جستجو برای: gray wolf optimization algorithm
تعداد نتایج: 1007332 فیلتر نتایج به سال:
Study on Downhole Geomagnetic Suitability Problems Based on Improved Back Propagation Neural Network
The analysis of geomagnetic suitability is the basis and premise matching navigation positioning. A evaluation model using mixed sampling an improved back propagation neural network (BPNN) based on gray wolf optimization (GWO) algorithm by incorporating dimension learning-based hunting (DLH) search strategy was proposed in this paper to accurately assess suitability. Compared with traditional m...
There has been considerable discussion on the origin of the red wolf and eastern wolf and their evolution independent of the gray wolf. We analyzed mitochondrial DNA (mtDNA) and a Y-chromosome intron sequence in combination with Y-chromosome microsatellites from wolves and coyotes within the range of extensive wolf-coyote hybridization, that is, eastern North America. The detection of divergent...
This paper presents the integration of renewable energy sources such as photovoltaics, wind, and batteries to grid. The hybrid shunt active power filter (HSHAPF) is optimized with Gray wolf optimization (GWO) fractional order proportional integral controller (FOPI) for harmonic reduction under nonlinear unbalanced load conditions. With use GWO, parameters FOPI are tuned, which effectively minim...
Today’s academics have a major hurdle in solving combinatorial problems the actual world. It is nevertheless possible to use optimization techniques find, design, and solve genuine optimal solution particular problem, despite limitations of applied approach. A surge interest population-based methodologies has spawned plethora new improved approaches wide range engineering problems. Optimizing t...
Meta-heuristic Algorithms (MA) are widely accepted as excellent ways to solve a variety of optimization problems in recent decades. Grey Wolf Optimization (GWO) is a novel Meta-heuristic Algorithm (MA) that has been generated a great deal of research interest due to its advantages such as simple implementation and powerful exploitation. This study proposes a novel GWO-based MA and two extra fea...
For Brush-less DC motors to function better under various operating settings, such as constant load situations, variable loading and set speed controller design is essential. Conventional controllers including proportional integral controllers, frequently fall short of efficiency expectations this mostly because the characteristics a motor drive exhibit non linearity. This work proposes hybrid ...
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