遇见数据集

Input data and detailed numerical results for 'An opposition-based memetic algorithm for the maximum quasi-clique problem'

收藏
Mendeley Data2026-04-18 收录
官方服务:

资源简介:

This data includes all the input data for the test instances used in the experiments together with the detailed numerical results. The input data consists of four sets of 122 benchmarks including DIMACS set (67 dense graphs), BHOSLIB set (33 dense graphs), University of Florida Sparse Matrix Collection (12 sparse graphs) and Standford Large Network Dataset Collection (10 very large network graphs). In addition, we also uploaded the 20 instances used in our tuning experiment.

本数据集包含实验中所用测试实例的全部输入数据,以及详尽的数值实验结果。该输入数据包含四组共计122个基准测试用例,分别为DIMACS集(DIMACS set)(67个稠密图)、BHOSLIB集(BHOSLIB set)(33个稠密图)、佛罗里达大学稀疏矩阵集(University of Florida Sparse Matrix Collection)(12个稀疏图)以及斯坦福大型网络数据集集(Standford Large Network Dataset Collection)(10个超大型网络图)。此外,本数据集还上传了我们在调参实验中使用的20个测试实例。

创建时间:
2019-06-07
二维码
社区交流群
二维码
科研交流群
商业服务