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1 to 7 of 7 Results
Aug 18, 2020 - Haibo Wang Dataverse
Wang, Haibo, 2020, "Large-Scale Planar Graph Instances for Max-Cut Problem", https://doi.org/10.18738/T8/57Q281, Texas Data Repository Dataverse, V1
There are 225 large-scale planar graph instances for Max-Cut problems with Q matrix from 1000 by 1000 to 90000 by 90000. The instances are similar to G-set benchmark in the literature. There are three different types of weights on the instances. The MCxx_yy_D99_a.txt instance has...
Aug 18, 2020 - Haibo Wang Dataverse
Wang, Haibo, 2020, "Large-scale Complete Graph Instances for Max-Cut Problem", https://doi.org/10.18738/T8/VLTIVC, Texas Data Repository Dataverse, V1
There are 180 large-scale high-density (97-99%) instances for Max-Cut problems with Q matrix from 1000 by 1000 to 90000 by 90000. For 90000 by 90000, the file are broken to multiple 2GB pieces such as MC90000_*.txt.gz_a, ...MC90000_*.txt.gz.d . To recover the large data file afte...
Jan 12, 2020 - Large-Scale Networks
Wang, Haibo, 2018, "very large-scale networks", https://doi.org/10.18738/T8/YYHQLQ, Texas Data Repository Dataverse, V2
network nodes from 7500 to15000, density from 1% to 50%, weighted and unweighted
Jan 29, 2019 - Haibo Wang Dataverse
Wang, Haibo, 2018, "Testbed for clique partitioning problems", https://doi.org/10.18738/T8/9EBL3A, Texas Data Repository Dataverse, V2
Testbed for working paper "Solving Clique Partitioning Problems: A Comparison of Models and Commercial Solvers"
Aug 16, 2018 - Large-Scale Networks
Wang, Haibo, 2018, "Weighted Large-Scale Network Data", https://doi.org/10.18738/T8/ZXBMQ0, Texas Data Repository Dataverse, V1
Density from 1% to 50% and weight from 0.1 to 0.5
Aug 16, 2018 - Large-Scale Networks
Wang, Haibo, 2018, "Unweighted High Density Networks", https://doi.org/10.18738/T8/RSAWIT, Texas Data Repository Dataverse, V1
high density networks
Jun 25, 2018 - Agricultural Automation Test Results
Wang, Haibo, 2018, "Complete results for Agricultural automation study", https://doi.org/10.18738/T8/74EAGP, Texas Data Repository Dataverse, V1
The complete results for a study on "Scheduling Multiple Robotic Machines and Multi-skilled Workers for Multitasking Environments"
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