Aug 15, 2021 · The performance of the SCHHO algorithm has been investigated on sixteen low and high-dimensional classification datasets with feature-size ...
Aug 15, 2021 · In this paper, a hybrid optimization method is proposed for numerical optimization and feature selection, which integrates sine-cosine algorithm ...
In this paper, a hybrid optimization method is proposed for numerical optimization and feature selection, which integrates sine-cosine algorithm (SCA) in Harris ...
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Abdel-Basset, A hybrid harris hawks optimization algorithm with simulated annealing for feature selection, Artificial Intelligence Review, с. · Alweshah, A ...
Hussain et al. [75] proposed a hybrid optimization method for numerical optimization and feature selection by combining the sine–cosine algorithm (SCA) and HHO.
Aug 2, 2022 · The purpose of this study is to propose an efficient search mechanism to solve the feature selection problem for low and high-dimensional ...
Aug 2, 2022 · We tested it in experiments against seven algorithms using single-peaked, multi-peaked, hybrid, and composite CEC2017 benchmark functions, and ...
This paper presents a Harris hawks optimization based on multiple strategies (CXSHHO). The hybrid design effectively improves the performance of the algorithm.
We propose a hybrid feature selection framework, using an improved SCA with metaheuristic techniques to reduce the dimensionality of data in the face of the ...
Mar 4, 2021 · Feature selection, an optimization problem, becomes an important pre-process tool in data mining, which simultaneously aims at minimizing ...