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Ehnanced Grey Wolf Optimizer
In this paper, we propose EGWO, a new version of Grey Wolf Optimizer. The EGWO algorithm works in almost the same way as the original algorithm, only...
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A hybrid grey wolf optimizer for engineering design problems
Grey wolf optimizer (GWO) is one of the most popular metaheuristics, and it has been presented as highly competitive with other comparison methods....
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Density Peak Clustering Using Grey Wolf Optimization Approach
Density peak clustering (DPC) finds the center of the cluster as the point with high density and a large distance from the center of the other...
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Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the...
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Optimal station placement based on grey wolf optimizer for regional target localization
The accuracy of target passive localization is influenced by the placement of signal receiving stations; therefore, many studies have been performed...
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A modified grey wolf optimization algorithm to solve global optimization problems
The Grey Wolf Optimizer (GWO) algorithm is a very famous algorithm in the field of swarm intelligence for solving global optimization problems and...
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Multi-strategy enhanced Grey Wolf Optimizer for global optimization and real world problems
The Grey Wolf Optimizer (GWO) is one of the more successful swarm-based intelligent algorithms in recent years, but the shortcomings of the Grey Wolf...
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Genetic Identification of Putative Hybrids between Grey Wolf and Golden Jackal
Abstract —We describe the results of genetic analysis of 11 phenotypically deviant individuals of grey wolf Canis lupus Linnaeus, 1758 sensu lato,...
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Review of the grey wolf optimization algorithm: variants and applications
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...
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An information entropy-based grey wolf optimizer
In this study, an entropy-based grey wolf optimizer (IEGWO) algorithm is proposed for solving global optimization problems. This improvement is...
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A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance
The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity,...
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Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony
The Grey Wolf Optimizer (GWO) is a relatively new metaheuristic approach that has shown promising results in solving continuous optimization...
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IGWOA: Improved Grey Wolf optimization algorithm for resource scheduling in cloud-fog environment for delay-sensitive applications
Fog computing, a technology that offers adaptable and scalable computing resources, facing a significant difficulty in task scheduling, affecting...
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A novel grey wolf optimization algorithm based on geometric transformations for gene selection and cancer classification
Cancer classification based on microarray data plays a very important role in cancer diagnosis and detection. Indeed, since microarray data contains...
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A novel software defect prediction model using two-phase grey wolf optimisation for feature selection
The process of accurately predicting software defects is highly crucial during the early period of software development before testing activities...
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A novel lifting point location optimization method of transmission line tower based on improved grey wolf optimizer
In the erection process of transmission line tower, the appropriate lifting point position is an important factor in ensuring the stability and...
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Ameliorated grey wolf optimizer with the best and worst orthogonal opposition-based learning
Grey wolf optimizer (GWO) is a type of swarm intelligence optimization algorithm. The GWO has strong local search ability and fast convergence....
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Multi-objective Grey Wolf Optimization based self configuring wireless sensor network
Wireless Sensor Networks are essential for monitoring physical objects in smart systems powered by the Internet of Things. It gathers information by...
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Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy
The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few...
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CGWO: An Improved Grey Wolf Optimization Technique for Test Case Prioritization
AbstractThe convergence rate has been widely accepted as a performance measure for choosing a better metaheuristic algorithm. So, we propose a novel...
