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Our results show that the effectiveness of these stochastic methods varies significantly between the different tested problems and also depends on the stopping criterion especially for SA, GA and PSO.
This result expresses that the above two algorithms solve all of the tested problems and that the proposed algorithm is efficient.
In Table 1, "No" and "problem" represent the index of the the tested problems and the name of the problem, respectively.
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The method is successfully applied to test problems and to the Ricardo crankcase simulation rig.
The developed genetic fuzzy system has been applied to test problems and real-world tasks.
The proposed NSGA-II is applied to test problems and average results are shown in Table 3.
The new quadrature and cubature rules are applied to test problems from mathematics and fluid dynamics.
Experimental Study 4C) Undergraduates were given worked sample problems in statistics (probability), and then test problems.
Test problems and numerical demonstrations are included.
Our examples will include point estimation and hypothesis testing problems and solutions, and synthetic data.
We discuss problems with existing test problems and discuss the use of an improved test problem generation approach.
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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