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    A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems by Boyuan Wu, Jia Luo

    Published 2025-02-01
    “…Finally, a unique exploration strategy is introduced, focusing on individual diversity learning to boost population diversity in solving FS problems. This approach improves the algorithm’s capacity to avoid local suboptimal feature subsets. …”
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    Features of the Local Dynamics of the Opto-Electronic Oscillator Model with Delay by Elena V. Grigorieva, Sergey A. Kashchenko, Dmitry V. Glazkov

    Published 2018-02-01
    “…To study the existent bifurcations in the system, we use the method of the behaviour constructing special normalized equations for slow amplitudes which describe of close to zero original problem solutions. The important feature of these equations is the fact that they do not depend on the small parameter. …”
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    EFFICIENCY ASSESSMENT OF EUCLIDEAN AND MAKHALANOBIS DISTANCES FOR SOLVING A MAJOR TEXT CLASSIFICATION PROBLEM by Anna V. Glazkova

    Published 2017-07-01
    “…The results of the experiment showed the possibility of using Euclidean and Mahalanobis metrics for solving text classification problems; the preference for using Mahalanobis metrics for estimating distances by objects represented by correlated features was also confirmed. …”
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    An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

    Published 2025-01-01
    “…Experimental and statistical results confirm the effectiveness and reliability of CLESQ-ZOA. Evaluations of feature selection datasets show that CLESQ-ZOA exhibits effective performance in determining the optimal feature subset.…”
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