Published April 13, 2022
| Version v1
Dataset
Open
Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace"
- 1. Liacs, Leiden University
- 2. Sorbonne Université
Description
This is the result of the study "Non-Elitist Selection Can Improve the Performance of Irace." Apart from the results of the three methods, i.e., irace, irace-rand, and irace-entropy, presented in the paper, the results of irace-Gower, which applies the Gower's 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.
Files
acotsp-result.zip
Files
(825.4 MB)
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