PM2.5 is one of the main factors air pollution, so prediction great significance. For this reason, innovation priority discrete nonlinear gray model based on wolf optimization algorithm established, which principle in system principle. Try to optimize model, and use solve parameters. First, basic theory proposed. On basis, used improve cumulative generation sequence, with parameters defined. Fi...

Abstract A combined prediction model based on long short-term memory neural network (LSTM) and convolutional (CNN) is proposed in order to increase the accuracy of load. To address issue that gray wolf optimization (GWO) search process prone falling into local optimum. An improved grey algorithm (IGWO) update convergence factor using lower incomplete gamma function improve global performance. T...

Automatic tooth arrangement and path planning play an essential role in computer-aided orthodontic treatment. However, state-of-the-art methods have some shortcomings: low efficiency, excessive cost of displacements or collisions insufficient accuracy. To address these issues, this paper proposes innovative method based on the improved gray wolf optimization algorithm, which is called OPP-IGWO....

The paper investigates the powerful of hybridizing two computational intelligence methods viz., Gray Wolf Optimization (GWO) and Artificial Neural Networks (ANN) for prediction of heart disease. Gray wolf optimization is a global search method while gradient-based back propagation method is a local search one. The proposed algorithm implies the ability of ANN to find a relationship between the ...

A new metaheuristic method, the Gray Wolf optimizer algorithm based on the foraging behavior of Grey wolf is proposed in this paper for optimizing stabilizer parameters. The optimal stabilizer is applied to static synchronous series compensator (SSSC) for Inter-Area oscillation damping. There are two different channels for controlling of phase and magnitude of the injection voltage. When the SS...

The unmanned aerial vehicle (UAV) network has gained vigorous evolution in recent decades by virtue of its advanced nature, and UAV-based localization techniques have been extensively applied a variety fields. In most applications, the data captured UAV are only useful when associated with geographic position. Efficient low-cost positioning is great significance for development UAV-aided techno...