Research Article
Optimizing the Location of Virtual Stations in Free-Floating Bike-Sharing Systems with the User Demand during Morning and Evening Rush Hours
Table 4
Performance analysis of CPLEX and the clustering algorithm. K = 10.
| N | CPLEX | Our method | Obj. | CPU(s) | Avg. Obj. | Avg. gap | Best Obj. | Best gap | Avg. CPU(s) |
| 30 | 20 | 78.645 | 19.5 | 2.50 | 20 | 0.00 | 39.916 | 50 | 37 | 681.843 | 35.7 | 3.51 | 36 | 2.70 | 45.016 | 70 | 55 | 2664.101 | 52.2 | 5.09 | 53 | 3.64 | 56.791 | 90 | 74 | 7200 | 69.9 | 5.54 | 71 | 4.05 | 63.855 | 110 | 92 | 7200 | 86.1 | 6.41 | 88 | 4.35 | 75.420 | 150 | 128 | 7200 | 119.4 | 6.72 | 122 | 4.69 | 86.632 | 190 | | 7200 | 163.1 | | 165 | | 95.341 | 230 | | 7200 | 188.7 | | 206 | | 100.029 |
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