Advanced global optimization algorithms have been continuously introduced and improved to solve various complex design optimization problems for which the objective and constraint functions can only be evaluated through computation intensive numerical analyses or simulations with a large number of design variables. The often implicit, multimodal, and ill-shaped objective and constraint function...

Grey Wolf Optimizer (GWO) is a nature-inspired swarm intelligence algorithm that mimics the hunting behavior of grey wolves. GWO, in its basic form, real coded needs modifications to deal with binary optimization problems. In this paper, previous work on binarization GWO are reviewed, and classified respect their encoding scheme, updating strategy, transfer function. Then, we propose novel (nam...

The analysis of geomagnetic suitability is the basis and premise matching navigation positioning. A evaluation model using mixed sampling an improved back propagation neural network (BPNN) based on gray wolf optimization (GWO) algorithm by incorporating dimension learning-based hunting (DLH) search strategy was proposed in this paper to accurately assess suitability. Compared with traditional m...

The likelihood of surface water and groundwater contamination is higher in regions close to landfills due the possibility leachate percolation, which a potential source pollution. Therefore, proposing reliable framework for monitoring parameters an essential task managers authorities quality control. For this purpose, efficient hybrid artificial intelligence model based on grey wolf metaheurist...

Current technological developments generally use sophisticated equipment which is categorized as a non-linear load. The massive of loads causes side effects on the quality electric power. Electric power systems that are connected to will experience distortion in current and voltage by harmonics due engineering waveforms installation many converters operating at frequencies do not match utility ...

Big data are regarded as a tremendous technology for processing huge variety of in short time and with large storage capacity. The user’s access over the internet creates massive internet. require an intelligent feature selection model by addressing varieties data. Traditional techniques only applicable to simple mining. Intelligent needed big machine learning efficient classification. Major al...

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), ...

Watermarking is an operation to hide important information. In this paper, a new watermarking algorithm using Shearlet transform and GWO optimization algorithm as well as SVD transform is presented. The results of this paper show the improvement of robustness and transparency of the new algorithm.

Short-term wind power forecasting plays an important role in generation systems. In order to improve the accuracy of forecasting, many researchers have proposed a large number models. However, traditional models ignore data preprocessing and limitations single model, resulting low accuracy. Aiming at shortcomings existing models, combined model based on secondary decomposition technique grey wo...

Microgrids (MGs) are capable of playing an important role in the future intelligent energy systems. This can be achieved by allowing effective and seamless integration distributed resources (DERs) loads, besides energy-storage systems (ESS) local area, so they gaining attraction worldwide. In this regard, a DC MG is economical, flexible, dependable solution requiring trustworthy control structu...