Research Article
A New Improved Quantum Evolution Algorithm with Local Search Procedure for Capacitated Vehicle Routing Problem
Table 10
Results of some medium-scale CVRP cases by IQEA+.
| No. | Problem instance | Object function | CPU time (s) | Type | Clients | Vehicles | Optimal | Best | AVE |
| 1 | A-n32-k5 | 31 | 5 | 784 | 784 | 791.6 | 15.7 | 2 | A-n34-k5 | 33 | 5 | 778 | 780 | 794.4 | 17.4 | 3 | B-n31-k5 | 30 | 5 | 672 | 672 | 679.8 | 11.9 | 4 | B-n34-k5 | 33 | 5 | 788 | 788 | 798.8 | 16.4 | 5 | P-n19-k2 | 18 | 2 | 212 | 212 | 213.6 | 4.8 | 6 | P-n20-k2 | 19 | 2 | 216 | 216 | 217.4 | 5.2 | 7 | P-n40-k5 | 39 | 5 | 458 | 458 | 469.6 | 13.1 | 8 | E-n23-k3 | 22 | 3 | 569 | 574 | 575.4 | 8.0 | 9 | E-n22-k4 | 21 | 4 | 375 | 375 | 387.6 | 9.5 | 10 | F-n45-k4 | 44 | 4 | 724 | 730 | 763.8 |
20.2 |
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