Convergence curves obtained by different algorithms on CEC2022 benchmark functions.

Convergence curves obtained by different algorithms on CEC2022 benchmark functions.

<p>Convergence curves obtained by different algorithms on CEC2022 benchmark functions.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yuqi Xiong (12343771) (author)
منشور في:	2025
الموضوعات:	Biophysics Neuroscience Space Science Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified structural similarity index precise elimination mechanism mean squared error light image enhancement experimental validation shows enhance algorithm performance cec2022 test suite avoid inefficient searches 23 benchmark functions mesboa significantly outperforms mesboa performs better complex optimization tasks numerical optimization complex modeling mesboa provides solution space solution accuracy search range research indicates psnr ), premature convergence practical problems population structure paper proposes noise ratio local optima limited adaptability lens imaging get trapped etc .) eliminating individuals efficient solution effectively constrains convergence speed comparative algorithms boundary control best individual application case
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الوصف
الملخص:	<p>Convergence curves obtained by different algorithms on CEC2022 benchmark functions.</p>

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