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Boosting capuchin search with stochastic learning strategy for feature selection
Faculty
Science
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Rehab Aly Ibrahim Muhammed
Staff Zu Site
Abstract In Staff Site
Journal:
Neural Computing and Applications Springer
Volume:
Keywords :
Boosting capuchin search with stochastic learning
Abstract:
The technological revolution has made available a large amount of data with many irrelevant and noisy features that alter the analysis process and increase time processing. Therefore, feature selection (FS) approaches are used to select the smallest subset of relevant features. Feature selection is viewed as an optimization process for which meta-heuristics have been successfully applied. Thus, in this paper, a new feature selection approach is proposed based on an enhanced version of the Capuchin search algorithm (CapSA). In the developed FS approach, named ECapSA, three modifications have been introduced to avoid a lack of diversity, and premature convergence of the basic CapSA: (1) The inertia weight is adjusted using the logistic map, (2) sine cosine acceleration coefficients are added to improve convergence, and (3) a stochastic learning strategy is used to add more diversity to the movement of Capuchin and a levy random walk. To demonstrate the performance of ECapSA, different datasets are used, and it is compared with other well-known FS methods. The results provide evidence of the superiority of ECapSA among the tested datasets and competitive methods in terms of performance metrics.
Author Related Publications
Rehab Aly Ibrahim Muhammed, "Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary", International Journal of Computer Applications, 2012
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Rehab Aly Ibrahim Muhammed, "Cooperative Meta-heuristic Algorithms for Global Optimization Problems", Elseveir, 2021
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Rehab Aly Ibrahim Muhammed, "Efficient artificial intelligence forecasting models for COVID-19outbreak in Russia and Brazil", Elseveir, 2021
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Rehab Aly Ibrahim Muhammed, "Automatic clustering method to segment COVID-19 CT images", ٍٍSpringer, 2021
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Rehab Aly Ibrahim Muhammed, "Fractional Calculus-Based Slime Mould Algorithm for Feature Selection Using Rough Set", IEEE, 2021
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Department Related Publications
Rodyna Ahmed Mahmoud, "Proximity structures and grill", ijser, 2013
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Heba Ibrahim Mustafa, "On rough approximations via ideal", Elsevier, 2013
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Heba Ibrahim Mustafa, "Soft Generalized Closed Sets with Respect to an Ideal in Soft Topological Spaces", Natural science publishing USA, 2014
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Heba Ibrahim Mustafa, "Hybridizing Rough Sets and Double Sets (An approach for increasing decision accuracy)", Acta Zhengzhou University Overseas, 2013
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Alaa Hassan Attia Hassan, "On subordination results for certain new classes of analytic functions defined by using Salagean operator", Universiteti i Prishtines, Prishtine, Kosove, 2012
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