Research Article
The Influence of Problem Specific Neighborhood Structures in Metaheuristics Performance
Table 3
Improvement of NS1-NS4 and NS5-NS8.
| ā | NS1 | NS2 | NS3 | NS4 | NS5 | NS6 | NS7 | NS8 |
| SA | KroA | 0.240 | 0.070 | 0.069 | 0.005 | -0.002 | 0.173 | 0.120 | 0.116 | KroB | 0.489 | 0.142 | 0.073 | 0.012 | 0.006 | 0.128 | 0.091 | 0.111 | KroC | 0.684 | 0.175 | 0.005 | 0.003 | 0.041 | 0.218 | 0.153 | 0.156 | KroD | 0.531 | 0.166 | 0.027 | 0.005 | 0.027 | 0.115 | 0.127 | 0.123 | KroE | 0.339 | 0.233 | 0.032 | -0.004 | 0.015 | 0.117 | 0.105 | 0.094 |
| DABC | KroA | 0.246 | 0.232 | 0.021 | 0.034 | 0.067 | 0.503 | 0.441 | 0.430 | KroB | -0.038 | 0.111 | 0.013 | 0.050 | 0.105 | 0.482 | 0.434 | 0.362 | KroC | 0.195 | 0.190 | 0.168 | 0.043 | 0.072 | 0.520 | 0.472 | 0.451 | KroD | -0.342 | 0.179 | 0.133 | 0.029 | 0.002 | 0.540 | 0.381 | 0.450 | KroE | -0.228 | 0.097 | 0.209 | 0.023 | 0.075 | 0.517 | 0.411 | 0.367 |
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