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Average results depending on relative test instance size N are reported in Table 7.
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We test instances with diverse size and complexity of the two network problems, and demonstrate the computational efficacy as well as give managerial insights.
For each of the 12 possible combinations (of one setting for the instance size and one setting for the return transport probability) we used a set of 15 test instances.
In this instance, size does matter.
Extensive experimental trials on benchmark instances demonstrate a significant decrease in instance size for certain classes of problems.
The iMTSP test instance was then generated.
Step 1 To classify the test instance, the words present in the test instance are collected.
Next, select an instance size.
Repeat for each test instance.
The proposed multi-start SCHNN (MS-SCHNN) is tested on a set of benchmark problems and several large size test instances.
Computational experiments on real-world sized test instances demonstrate the efficiency and effectiveness of the proposed 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