… gray wolf optimisation (GWO) algorithm is proposed to improve feature selection and determine
the optimal parameter … determination and feature selection of support vector machines’, …

… 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…

… 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. …

… feature selection and optimization in … to select the best features, support vector machine
(SVM) to predict customer churn, and grey wolf optimization (GWO) to optimize the parameters of …

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

… 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 …

… The first contribution is improving the performance of support vector machine (SVM)
using a recent grey wolf optimizer (GWO) for diagnosis breast cancer with efficient scaling …