Results 171 to 180 of about 8,085 (236)

Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. [PDF]

PLoS One
Bai X, Zheng Y, Lu Y, Shi Y.
europepmc   +1 more source

Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection. [PDF]

Sensors (Basel)
Chai X, Wu Z, Li W, Fan H, Sun X, Xu J.
europepmc   +1 more source

Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation. [PDF]

Sci Rep
Bouchikhi N, Boussadia F, Bouddou R, Salau AO, Mekhilef S, Gouder C, Adiche S, Belabbes A.   +7 more
europepmc   +1 more source

An improved grey wolf optimization algorithm based on scale-free network topology. [PDF]

Heliyon
Zhang J, Dai Y, Shi Q.
europepmc   +1 more source

Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods. [PDF]

Tomography
Sarı Y, Aydın Atasoy N.
europepmc   +1 more source

Retraction Note: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system. [PDF]

Sci Rep
Krishnaram K, Padmanabhan TS, Alsaif F, Senthilkumar S.   +3 more
europepmc   +1 more source

A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults.

Sci Rep
Djaballah S, Saidi L, Meftah K, Hechifa A, Bajaj M, Zaitsev I.   +5 more
europepmc   +1 more source

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Grey wolf optimization with momentum for function optimization

Artificial Life and Robotics, 2021
Grey wolf optimization (GWO) is one of the metaheuristics, which imitates the hierarchy structure and hunting mechanism in nature. In this paper, we propose an algorithm of grey wolf optimization with momentum (GWOM). The momentum has a movement vector of search point from a previous position to a current position.
Takuya Muto, Michiharu Maeda
openaire   +2 more sources

Improved dynamic grey wolf optimizer

Frontiers of Information Technology & Electronic Engineering, 2021
In the standard grey wolf optimizer (GWO), the search wolf must wait to update its current position until the comparison between the other search wolves and the three leader wolves is completed. During this waiting period, the standard GWO is seen as the static GWO.
Xiaoqing Zhang 0013, Yuye Zhang, Zhengfeng Ming   +2 more
openaire   +2 more sources

Grey Wolf Optimizer

2020
GWO algorithm is a swarm or population-based meta-heuristic technique developed based on motivation from the hunting pattern of the Grey Wolves (GW). In this study, the model was implemented using MATLAB 2020. Thirty (30) search agents were considered and the maximum number of iterations was set to 1000.
Ahmed F. Ali, Mohamed A. Tawhid
openaire   +2 more sources