The scope of this paper is to forecast wind speed. Wind speed, temperature, wind direction, relative humidity, precipitation of water content and air pressure are the main factors make the wind speed forecasting as a complex problem and neural network performance is mainly influenced by proper hidden layer neuron units. This paper proposes new criteria for appropriate hidden layer neuron unit’s...

Foresight of CO2 emissions from fuel combustion is essential for policy-makers to identify ready targets effective reduction plans and further improve energy policies plans. A new method forecasting the future development China’s proposed in this paper by using grey theory. Although existing fractional nonlinear Bernoulli model (denoted as FNGBM(1,1)) has been theoretically proven enhance adapt...

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...

Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied improve calculation efficiency. Therefore, more and attention paid exploring application latest SIOA in segmentation. This article takes Otsu fuzzy entropy as objective functions, using Coyote (COA) for thresholds optimization selection, through median a...

Multi-objective evolutionary algorithms are widely used in many engineering optimization problems and artificial intelligence applications. Ant lion optimizer is an outstanding method, but two issues need to be solved extend it the multi-objective field, one how update Pareto archive, other choose elite ant lions from archive. We develop a novel variant of this paper. A new measure combining do...

In recent years, several high-performance nature-inspired metaheuristic algorithms have been proposed. It is important to study and compare the convergence, computational burden statistical significance of these metaheuristics aid future developments. This focuses on six metaheuristics, namely, ant lion optimization (ALO), arithmetic algorithm (AOA), dragonfly (DA), grey wolf optimizer (GWO), s...

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...