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In this section, we are going to test the effectiveness of Algorithm 1.
This section aims to test the practical effectiveness of Algorithm 1.
In this section, to show the practical effectiveness of Algorithm A, we test 59 typical problems from [33].
In the classical ABC algorithm, random selection of the location of scout bees reduces the effectiveness of algorithm.
Finally, the guidance and control algorithm is formed and the effectiveness of algorithm is verified by numerical Monte Carlo simulations.
Finally, the navigation and guidance algorithm is formed and the effectiveness of algorithm is verified by numerical simulations.
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We also provide metrics to quantitatively evaluate the effectiveness of algorithms used.
The effectiveness of algorithm-based, flexible interventions using a combination of psychological and pharmacological treatments compared with standard care was evaluated in four RCTs.
In this section, we illustrate the effectiveness of our algorithm by comparing with some existing algorithms.
Extensive experimental results show the effectiveness of our algorithm in comparison to other six algorithms.
The algorithm was tested both on simulated and experimental data, all of the results verify the effectiveness of our algorithm.
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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