Research Article
Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms
Table 5
Statistics of the fine-tuning approaches for the metaheuristic GA.
| Inst. | | | | |
| Berlin52 | 44.60 | 109 | 34.83 | 52 | St70 | 72.15 | 103 | 74.67 | 69 | Rat99 | 106.69 | 123 | 106.69 | 82 | Rd100 | 116.94 | 114 | 114.80 | 74 | Lin105 | 143.98 | 95 | 150.88 | 61 | Pr124 | 194.38 | 110 | 205.06 | 60 | Bier127 | 99.38 | 100 | 88.84 | 63 | Ch130 | 142.36 | 125 | 130.70 | 103 | KroA200 | 227.62 | 125 | 216.68 | 103 | Ts225 | 245.84 | 112 | 282.68 | 74 | | 139.39 | 109 | 140.58 | 52 | | 62.33 | 11 | 70.97 | 17 |
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