The grey wolf (Canis lupus) is one of the most widely distributed terrestrial mammals, and its distribution and ecology in Europe and North America are largely well described. However, the distribution of grey wolf in southern China is still highly controversial. Several well-known western literatures stated that there are no grey wolves in southern China, while the presence of grey wolf across...

Grey wolf optimizer (GWO) is a new technique, which can be applied successfully for solving optimized problems. The GWO indeed simulates the leadership hierarchy and hunting mechanism of grey wolves. There are four types of grey wolves which are alpha, beta, delta and omega. Those four types can be used for simulating the leadership hierarchy. In order to complete the process of GWO a three mai...

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 (...

Abstract In view of the time-series characteristics grid load data, this paper proposes a method to predict electricity demand by optimizing long-and short-term memory (LSTM) neural network model using grey wolf optimization algorithm, taking into account effects time, weather conditions and holiday on loads. The overcomes disadvantage that backpropagation through time algorithm tends converge ...

Selecting the most relevant subset of features from a dataset is vital step in data mining and machine learning. Each feature has 2n possible subsets, making it challenging to select optimum collection using typical methods. As result, new metaheuristics-based selection method based on dipper-throated grey-wolf optimization (DTO-GW) algorithms been developed this research. Instability can resul...