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...

Wolves in the Himalayan region form a monophyletic lineage distinct from the present-day Holarctic grey wolf Canis lupus spp. (Linnaeus 1758) found across Eurasia and North America. Here, we analyse phylogenetic relationships and the geographic distribution of mitochondrial DNA haplotypes of the contemporary Himalayan wolf (proposed in previous studies as Canis himalayensis) found in Central As...

Abstract In recent years, evolutionary algorithms have shown great advantages in the field of feature selection because their simplicity and potential global search capability. However, most existing based on computation are wrapper methods, which computationally expensive, especially for high-dimensional biomedical data. To significantly reduce computational cost, it is essential to study an e...

In this paper, optimization of a system square cascades for separation middle isotopes is introduced, and the optimal cascade use in presented. case, 130Xe which isotope, presented as an example. The isotope much more complex than that other isotopes. Grey Wolf Algorithm applied optimization, parameters feed flow rate, cut cascade, location, gas centrifuges (GC), first stage are optimized such ...

Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type network, training and selecting parameters that define networks architecture play an important role enhancing the accuracy network's output; Therefore, Prior training, those must be optimized. Grey Wolf Optimizer (GWO) has been considered one efficient developed approaches Swarm Intellige...