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algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
i function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.
Published 2023“…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…”
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Eight commonly used benchmark functions.
Published 2023“…Secondly, the nonlinear convergence factor is constructed to replace the original random factor <i>c</i><sub>1</sub> to coordinate the algorithm’s local exploitation and global exploration performance, which effectively improves the ability of the algorithm to escape extreme values and fast convergence. …”
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Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.
Published 2023“…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”
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Contrast enhancement of digital images using dragonfly algorithm
Published 2024“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”
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Search Algorithms and Loss Functions for Bayesian Clustering
Published 2022“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz
Published 2025Subjects: -
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