Results 1 to 10 of about 3,332,658 (221)

A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm [PDF]

Sensors, 2020
Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems ...
Zhihang Yue, Sen Zhang, Wendong Xiao
doaj   +7 more sources

An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. [PDF]

Comput Intell Neurosci, 2018
Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy pursuit algorithms easily fall into suboptimal solutions.
Liu H, Hua G, Yin H, Xu Y.
europepmc   +7 more sources

A Grey wolf optimizer combined with Artificial fish swarm algorithm for engineering design problems

Ain Shams Engineering Journal
For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO).
Hongzhi Zhang, Yong Zhang, Yixing Niu, Kai He, Yukun Wang   +4 more
doaj   +4 more sources

Kernel-Based Intuitionistic Fuzzy Clustering Image Segmentation Based on Grey Wolf Optimizer With Differential Mutation

IEEE Access, 2021
Conventional fuzzy clustering algorithms present several disadvantages with respect to image segmentation, including a tendency to arrive at local optima and a relatively high sensitivity to noise and initial cluster centers.
Xiangxiao Lei, Honglin Ouyang
doaj   +2 more sources

An Improved Grey Wolf Optimizer Based on Tracking and Seeking Modes to Solve Function Optimization Problems

IEEE Access, 2020
Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking.
M. W. Guo, J. S. Wang, L. F. Zhu, S. S. Guo, W. Xie   +4 more
doaj   +3 more sources

Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems

Scientific Reports
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering.
Manoharan Premkumar, Garima Sinha, Manjula Devi Ramasamy, Santhoshini Sahu, Chithirala Bala Subramanyam, Ravichandran Sowmya, Laith Abualigah, Bizuwork Derebew   +7 more
doaj   +2 more sources

Stochastic Grey Wolf Optimization for Hyperparameter Tuning of LSTM and RNN Models in Energy Forecasting [PDF]

Scientific Reports
Accurate photovoltaic (PV) power forecasts are required to support the stable and efficient incorporation of solar power into modern electric power grids.
Omsaeed Ahmed Albser, Mourad R. Mouhamed, Salma A. Shatta, Nasser H. Sweilem, Ashraf Darwish   +4 more
doaj   +2 more sources

Iterative localization method for multiple jammers in UAV collaborative jamming attacks [PDF]

Scientific Reports
To achieve multi-jammer localization in a collaborative jamming attack scenario involving UAVs, this paper designs a multi-jammer iterative localization algorithm based on error minimization and proposes a multi-strategy improved grey wolf optimizer ...
Li Huang, Luhao Xiong, Shijie Huang, Jingxuan Wang, Changsheng Wan   +4 more
doaj   +2 more sources

Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm. [PDF]

Sci Rep
Abstract The grey wolf optimization algorithm is a heuristic optimization algorithm based on the behavior of grey wolf groups in nature. It has the advantages of a simple concept and few adjustment parameters, and it is widely used in a variety of fields.
Cheng G, Liu Y.
europepmc   +4 more sources

Improved Grey Wolf Optimization Algorithm and Application

Sensors, 2022
This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wolves to enhance the global search ability and used a ...
Hou, Yuxiang, Gao, Huanbing, Wang, Zijian, Du, Chuansheng   +3 more
openaire   +3 more sources