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The numerical simulation results of 22 benchmark functions demonstrate that the performance of the proposed AEA is superior to that of the basic EAs.
Experimental results on thirty-two standard benchmark functions demonstrate that SHPSOS outperforms original HS and the other related algorithms in terms of the solution quality and the stability.
The experimental results on 22 benchmark functions demonstrate that GRO could enhance the exploitation ability of ABCs and accelerate convergence without loss of diversity.
The comparison results on a set of 27 benchmark functions demonstrate that the proposed method has better performance than the other algorithms.
Examinations of this strategy on a suite of sophisticated composition benchmark functions demonstrate that SP-UCI surpasses two popular algorithms, particle swarm optimizer (PSO) and differential evolution (DE), on high-dimensional problems.
The experiments of the benchmark functions demonstrate that.
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The experimental results on 40 benchmark test functions demonstrate that, compared with five representative PSO algorithms, ALPSO performs much better than the others in more cases, on both convergence accuracy and convergence speed.
Experiments for numerical optimization of 4 benchmark functions show that the RIO operator bears better functioning than IO operator.
Experimental results on benchmark datasets demonstrate that the proposed system is robust and efficient.
The experimental results on five benchmark datasets demonstrate that our proposed method provides a reliable performance of FR-IQA.
The results of the benchmark analysis demonstrate that HIA outperforms the other aligners, especially in speed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com