Results 171 to 180 of about 4,765,015 (215)

An improved grey wolf optimization-based MPPT algorithm for photovoltaic systems under partial shading conditions. [PDF]

Sci Rep
Celikel R, Aydogmus O, Yilmaz M.
europepmc   +1 more source

An IBGWO optimized feature selection framework for sentiment analysis-based fraudulent website detection using MLRNN. [PDF]

Sci Rep
Perumal S, Vishwanathan AJ.
europepmc   +1 more source

Hybrid IGWO-Dingo optimized DeMoHybridNet model for multi-class leaf disease identification. [PDF]

Sci Rep
Palei S, Mohapatra P, Mallick SR, Diwan P.   +3 more
europepmc   +1 more source

Research on carbon emission forecasting during expressway maintenance period based on GWO-Markov optimized grey model. [PDF]

Sci Rep
Ren Y, Wang C, Feng S, Zhang R, Mao W, Xu H, Zhang Y, Fang X.   +7 more
europepmc   +1 more source

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

Sci Rep
Huang L, Xiong L, Huang S, Wang J, Wan C.   +4 more
europepmc   +1 more source

A new modified grey wolf optimization algorithm proposal for a fundamental engineering problem in robotics

Neural Computing and Applications, 2021
In this study, the solution of inverse kinematics, which is the most fundamental problem in the field of robotics, is handled with the grey wolf optimization algorithm.
Serkan Dereli
exaly   +2 more sources

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Review of the grey wolf optimization algorithm: variants and applications

Neural Computing and Applications, 2023
One of the most widely referenced Swarm Intelligence (SI) algorithms is the Grey Wolf Optimizer (GWO), which is based on the pack hunting and natural leadership organization of grey wolves. The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its ...
Yunyun Liu, Azizan Bin As'arry, Mohd Khair Hassan, Abdul Aziz Hairuddin, Hesham Mohamad   +4 more
openaire   +1 more source

Enhanced Grey Wolf Optimization Algorithm for Global Optimization

Fundamenta Informaticae, 2017
Grey Wolf Optimizer (GWO) is a new meta-heuristic search algorithm inspired by the social behavior of leadership and the hunting mechanism of grey wolves. GWO algorithm is prominent in terms of finding the optimal solution without getting trapped in premature convergence.
Himani Joshi, Sankalap Arora
openaire   +3 more sources

Effects of dominant wolves in grey wolf optimization algorithm

Applied Soft Computing Journal, 2019
Abstract Bio-inspired computation is one of the emerging soft computing techniques of the past decade. Although they do not guarantee optimality, the underlying reasons that make such algorithms become popular are indeed simplicity in implementation and being open to various improvements.
Fehmi Burcin Ozsoydan
exaly   +4 more sources

An improved hybrid grey wolf optimization algorithm

Soft Computing, 2018
The existing grey wolf optimization algorithm has some disadvantages, such as slow convergence speed, low precision and so on. So this paper proposes a grey wolf optimization algorithm combined with particle swarm optimization (PSO_GWO). In this new algorithm, the Tent chaotic sequence is used to initiate the individuals’ position, which can increase ...
Zhi-jun Teng, Jin-ling Lv, Li-wen Guo
exaly   +3 more sources