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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>

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Bibliographic Details
Main Author: Yuqi Xiong (12343771) (author)
Published: 2025
Subjects:
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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