Since modern power systems are susceptible to undesirable frequency oscillations caused by uncertainties in renewable energy sources (RESs) and loads, load control (LFC) has a crucial role get these systems’ stability back. However, existing LFC techniques may not be sufficient confront the key challenge arising from low-inertia issue, which is due integration of high-penetration RESs. Therefor...

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...

Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied improve calculation efficiency. Therefore, more and attention paid exploring application latest SIOA in segmentation. This article takes Otsu fuzzy entropy as objective functions, using Coyote (COA) for thresholds optimization selection, through median a...

Support Vector Machine (SVM) is often used in regression and classification problems. However, SVM needs to find proper kernel function solve high-dimensional We propose an improved Sparrow Search Algorithm (ISSA-SVM) algorithm optimize the parameters. First, problem of slow convergence due lack ergodicity poor diversity initial population effectively overcome by using Sine chaotic map. Second,...

This paper proposes an easily understandable Grey Wolf Optimizer (GWO) applied to the optimal tuning of the parameters of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs). GWO is employed for solving optimization problems focused on the minimization of discrete-time objective functions defined as the weighted sum of the absolute value of the control error and of the squared ou...

Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field business, science, and engineering. One common optimization is called Grey Wolf Optimization (GWO). algorithm works based on imitation wolves' searching process attacking grey wolves. main purpose this paper overcome GWO problem which trapping into local optima. Design or Metho...

Operation at low speed and high torque can lead to the generation of strong ripples in speed, which deteriorate system. To reduce oscillations when operating a five-phase asynchronous motor this article, we propose control method based on Gray Wolf optimization (GWO) algorithms adjust parameters proportional–integral (PI) controllers. Proportional–integral controllers are commonly used systems ...

Wireless sensor networks (WSN) have been recently gaining traction for many applications in monitoring and surveillance systems the physical world specifically agriculture, healthcare, smart cities. Many clustering routing approaches introduced to reduce consumption of energy WSNs increase lifetime network. In this study, we propose an improved version grey wolf optimizer (GWO), a nature-inspir...

Coal mine gas accident is one of the most serious threats in process safe coal mining, making it important to accurately predict emission. To improve accuracy emission prediction, a hybrid machine learning prediction model combining random forest (RF) algorithm, improved gray wolf optimizer (IGWO) algorithm and support vector regression (SVR) proposed, effect validated by using actual measured ...