This paper presents an improved selection mechanism based on the classification of the population using quartiles. This preserves the classical structure of the DE while optimizing its effectiveness and efficiency. The proposed approach is designated as Quartile-based Ranked Differential Evolution (QRDE). It introduces a selection that categorizes the population into four groups to facilitate a comparison of the trial vector against a randomly selected individual from the worst group. Also, a scaling factor defines the exploration and exploitation of the QRDE from the selection part.
引用格式
Diego Oliva (2025). Quartile-based Ranked Differential Evolution (QRDE) (https://www.mathworks.com/matlabcentral/fileexchange/176939-quartile-based-ranked-differential-evolution-qrde), MATLAB Central File Exchange. 检索时间: .
Haro, Eduardo H., et al. “Improving the Selection of Differential Evolution through a Quartile-Based Ranked Operator.” International Journal of Machine Learning and Cybernetics, Springer Science and Business Media LLC, Nov. 2024, doi:10.1007/s13042-024-02409-8.
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