Advances in Engineering Software, 2014 This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.
Seyedali Mirjalili +2 more
exaly +4 more sources
Improved Grey Wolf Optimization Algorithm and Application [PDF]
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.
Yuxiang Hou +3 more
semanticscholar +5 more sources
Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm [PDF]
Scientific ReportsThe grey wolf optimization algorithm is a metaheuristic optimization algorithm based on the behavior of grey wolf groups in nature, which has the advantages of a simple concept and few adjustment parameters and is widely used in various fields.
Gang Cheng, Yadong Liu
doaj +2 more sources
Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy
Scientific Reports, 2022 The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation.
Kewen Li +4 more
doaj +2 more sources
An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning
IEEE Access, 2021 Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems.
Jingyi Liu, Xiuxi Wei, Huajuan Huang
doaj +2 more sources
A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults [PDF]
Sci RepBearing degradation is the primary cause of electrical machine failures, making reliable condition monitoring essential to prevent breakdowns. This paper presents a novel hybrid model for the detection of multiple faults in bearings, combining Long Short-
Said Djaballah +5 more
semanticscholar +2 more sources
Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization [PDF]
Sci RepA prompt diagnosis of breast cancer in its earliest phases is necessary for effective treatment. While Computer-Aided Diagnosis systems play a crucial role in automated mammography image processing, interpretation, grading, and early detection of breast ...
A. Bilal +5 more
semanticscholar +2 more sources
Parametric Optimization of FDM Process for PA12-CF Parts Using Integrated Response Surface Methodology, Grey Relational Analysis, and Grey Wolf Optimization [PDF]
Polymers (Basel)Efficiently managing multiple process parameters is critical for achieving optimal performance in additive manufacturing. This study investigates the relationship between eight key parameters in fused deposition modeling (FDM) and their impact on ...
A. Almuflih +3 more
semanticscholar +2 more sources
A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification [PDF]
PLoS OneIn response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach.
Abdul Qadir Khan +6 more
semanticscholar +2 more sources
Selective Opposition based Grey Wolf Optimization
Expert Systems with Applications, 2020 The use of metaheuristics is widespread for optimization in both scientific and industrial problems due to several reasons, including flexibility, simplicity, and robustness.
S. Dhargupta +3 more
semanticscholar +3 more sources