Research Article
An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints
Table 4
The performance experiment result 3.
| Node |
Yun and Moon (2011) [20] | AEA | Best value | CPU time | Best value | CPU time | Min. | Avg. | Max. | Min. | Avg. | Max. | Min. | Avg. | Max. | Min. | Avg. | Max. |
| 7 | 26 | 26.4 | 28 | 0.00 | 0.01 | 0.01 | 26 | 26.4 | 28 | 0.00 | 0.01 | 0.02 | 25 | 134 | 134.8 | 141 | 0.34 | 0.98 | 2.56 | 134 | 134.2 | 136 | 0.31 | 0.97 | 2.39 | 35 | 177 | 179.9 | 186 | 0.78 | 5.62 | 10.84 | 177 | 180.3 | 183 | 2.36 | 5.62 | 11.31 | 45 | 209 | 216.3 | 224 | 12.92 | 29.73 | 48.66 | 207 | 214.9 | 223 | 12.64 | 29.87 | 57.18 | 70 | 368 | 375.8 | 386 | 83.05 | 146.20 | 223.80 | 364 | 374.5 | 380 | 46.38 | 93.59 | 161.20 | 85 | 420 | 432.8 | 471 | 133.60 | 326.04 | 587.30 | 394 | 427.3 | 448 | 60.22 | 290.93 | 467.80 | 100 | 458 | 492.25 | 520 | 303.00 | 676.87 | 1314.00 | 448 | 480.7 | 505 | 178.90 | 491.39 | 735.60 |
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