Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace" (Q6690554)
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Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace" |
Dataset published at Zenodo repository. |
Statements
This is theresult of the study Non-Elitist Selection Can Improve the Performance of Irace. Apart from the results ofthe three methods, i.e., irace, irace-rand, and irace-entropy, presented in the paper, the results of irace-Gower, which applies the Gowers distance to measure the diversity of configurations, are also provided in this dataset. The irace variants are tested on three scenarios: ACOTSP, ACOQAP, and SPEAR. This Data set consists of: 1. The configurations obtained by 20 runs of each irace variant. 2. The results of validation runs of the obtained configurations. Contact: if you have any questions or suggestions, please get in touch with Furong Ye.
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13 April 2022
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