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...

This paper presents an implementation of the hybrid Cuckoo search and Grey wolf (CS-GWO) optimization algorithm for solving problem distribution network reconfiguration (DNR) optimal location sizing distributed generations (DGs) simultaneously in radial systems (RDSs). is being used significantly to minimize system power loss, voltage deviation at load buses improve profile. When high-dimension...

High-speed automatic weapons play an important role in the field of national defense. However, current research on reliability analysis of automaton principally relies on simulations due to the fact that experimental data are difficult to collect in real life. Different from rotating machinery, a high-speed automaton needs to accomplish complex motion consisting of a series of impacts. In addit...

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...

Abstract As the technology of Internet Things (IoT) and mobile edge computing (MEC) develops, more tasks are offloaded to servers be computed. The offloading strategy performs an essential role in progress computation offloading. In a general scenario, should consider enough factors, made as quickly possible. While most existing model only considers one or two we investigated considering three ...

The operation of PV systems can experience uniform (UIC) and partial insolation (PSC) that depends on its environment. Many MPPT algorithm has been proposed in literature such as P&O, many metaheuristics PSO GWO. Those only work at a certain environmental condition. P&O UIC but fail to track maximum power PSC hence reducing efficiency system when it is experiencing PSC. GWO the change s...

Evolutionary Population Dynamics (EPD) refers to eliminating poor individuals in nature, which is the opposite of survival fittest. Although this method can improve median whole population meta-heuristic algorithms, it suffers from exploration capability handle high-dimensional problems. This paper proposes a novel EPD operator search process. In other words, as primary mainly improves fitness ...

It is extremely critical for an emergency response to quickly and accurately use source term estimation (STE) in the event of hazardous gas leakage. To determine appropriate algorithm, four swarm intelligence optimization (SIO) algorithms including Gray Wolf optimizer (GWO), particle (PSO), genetic algorithm (GA) ant colony (ACO) are selected be applied STE. After calculation, all can obtain le...