… This paper presents a novel machine learning method called grey wolf optimizer support
vector machine (GWO-SVM) to predict adsorbed gas. For this purpose, a data set containing …

… algorithms (such as grey wolf optimizer and biogeography-based optimization) can improve
… namely grey wolf optimizer-feature weighted-multiple kernel-support vector regression (GWO…

… This study proposes an intelligent predictive model that integrates hybrid grey wolf optimization
(HGWO) and a support vector machine (SVM) to predict the groutability. The model was …

… grey wolf optimization (EBGWO) algorithm for FS in anomaly detection by controlling the
balancing parameter. … Secondly, support vector machine is used for the classification process. …

… In this paper, enhanced grey wolf optimization-support vector machine (EGWO-SVM)
technique is proposed to select the optimum subset of features which would result in maximum …

… Once the parameter selection is unscientific, it will lead to poor classification accuracy. To …
presents a Grey Wolf Optimizer Algorithm based on Particle Swarm Optimization (PSOGWO) …

… In this paper, grey wolf optimizer (GWO) is used to solve the diabetes diagnosis problem.
The important point of the proposed algorithm is the accuracy of that compared to other …

… The first model is based on a physical model, the second on a support vector machine (SVM)
regression model, and the third on an SVM classification model. Grey wolf optimizer was …

… method based on the modified grey wolf optimization algorithm (MGWO) and support vector
machine … method realizes optimization of the penalty factor and the kernel parameter in SVM. …

… used for anomaly detection is One Class Support vector machine (OCSVM). The efficiency
… algorithm called Grey Wolf Optimization algorithm (GWO) to optimize the hyperparameters of …