This paper presents an application of grey wolf optimizer (GWO) in order to find the parameters of primary governor loop for successful Automatic Generation Control of two areas’ interconnected power system. Two standard objective functions, Integral Square Error and Integral Time Absolute Error (ITAE), have been employed to carry out this parameter estimation process. Eigenvalues along with dy...

This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey, enc...

Keeping the bus voltage within acceptable limits depends on dispatching reactive power. Power quality improves as a result of creating an effective power flow system, which also helps to reduce loss. Therefore, optimal dispatch (ORPD) studies aim at designing appropriate system configurations enable reliable operation systems. Establishment such configuration is handled through control variable...

With the development of intelligent transportation and rapid growth application data, tasks offloading vehicles in vehicle-to-vehicle communication technology are continuously increasing. To further improve service efficiency computing platform, energy-efficient low-latency mobile-edge-computing (MEC) methods urgently needed, which can solve insufficient capacity vehicle terminals. Based on an ...

The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...

Crude oil market analysis has become one of the emerging financial markets and volatility effect is paramount been considered as an issue utmost importance. This study examines dynamics this volatile crude by employing a hybrid approach based on extreme learning machine (ELM) regressor improved grey wolf optimizer (IGWO) for prophesying rate West Texas Intermediate (WTI) Brent datasets. The dat...

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...