Abstract In estimating the parameters of five unknown Single‐Diode Model (SDM) solar photovoltaic (PV) model, a non‐linear equation for PV cell current is typically utilized. Then, error between estimated and measured computed using objective function called Root‐Mean‐Square‐Error (RMSE). order to compute in SDM, an iterative method built on Lambert‐W presented this study. Along with Lamber‐W f...

In dynamic unmanned aerial vehicle (UAV) networks, localization and clustering are fundamental functions for cooperative control. this article, we propose bio-inspired (BIL) (BIC) schemes in UAV networks wildfire detection monitoring. First, develop a hybrid gray wolf optimization (HGWO) method an energy-efficient three-dimensional BIL algorithm based on the HGWO, which reduces errors, avoids f...

Cloud Computing is the dynamic provisioning of resources to provide services end-users over internet. The realization cloud computing requires addressing several challenges, such as resource discovery, security, scheduling, and load balancing. Among these research issues, balancing most challenging one. Therefore, in past few years, into various static algorithms achieve optimal results gaining...

Economic load dispatch (ELD) provides significant benefits to the operation of power system. It appears be a complex nonconvex optimization problem subject several equal and unequal constraints. The greedy sine-cosine nonhierarchical gray wolf optimizer (G-SCNHGWO) is introduced in this study solve ELD problems efficiently robustly. sine cosine functions assist search agents grey (GWO) algorith...

To solve the problem of fault signals wind turbine bearings being weak, not easy to extract, and difficult identify, this paper proposes a diagnosis method for fan based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) Grey Wolf Algorithm Optimization Kernel Extreme Learning Machine (GWO-KELM). First, eliminating interference noise collected vibration signal shoul...

In this study, the morphological galaxy classification process was carried out with a hybrid approach. Since Galaxy may contain detailed information about universe’s formation, it remains current research topic. Researchers divided more than 100 billion galaxies into ten different classes. It is not always possible to understand which class types belong. However, Artificial Intelligence (AI) ca...

<p>One of the greatest techniques, inductive coupling is frequently utilized in biomedical sector for wireless energy transfer to implants. The aim this article develop and analyze effect inductor geometrical characteristics, distance between transmitter (TX) receiver (RX) also operating frequency on power system, using grey wolf optimizer-based cuckoo search (GWO-CS) algorithm. Power eff...

Fast and accurate identification of pulsar signals is important for X-ray pulsar-based navigation (XNAV). Traditional signal detection technology based on FFT search epoch folding (EF) requires a very long time to obtain an appropriate signal-to-noise ratio (SNR) gain, especially weak with low photon fluxes. This paper proposes adaptive stochastic resonance (SR) method the grey wolf optimizer (...