Reference:
Menzies, T., Chen, T., Ye, Y., Ganguly, K. K., Rayegan, A., & Srinivasan, S. (2025).
MOOT: A repository of many multi-objective optimization tasks (Version 2025) [Data set].
Zenodo. https://doi.org/10.5281/zenodo.17354083
@misc{mootdata,
author = {Tim Menzies and Tao Chen and Yulong Ye and
Kishan Kumar Ganguly and Amirali Rayegan and
Srinath Srinivasan},
title = {{MOOT: A Repository of Many Multi-Objective Optimization Tasks}},
year = {2025},
doi = {10.5281/zenodo.17354083},
url = {https://doi.org/10.5281/zenodo.17354083},
note = {Version 2025, GitHub: https://github.com/timm/moot},
publisher = {Zenodo}
}Moot is such a good name for datasets to be used to assess different algorithms. Its definition is
(noun) a mock trial set up to examine a hypothetical case as an academic exercise. "the object of a moot is to provide practice in developing an argument"