Research Article
A Multiobjective Iterated Greedy Algorithm for Truck Scheduling in Cross-Dock Problems
Table 9
The average values of hypervolume and the epsilon indicator of all problem sets for each algorithm.
| Problem set | Performance indicators | | | Algorithms | IGA | SPPSOII | SPEAII | IGA | SPPSOII | SPEAII |
| 1 | 1.409 | 0.488 | 0.317 | 1 | 1.172 | 1.171 | 2 | 1.423 | 0.721 | 0.371 | 1 | 1.159 | 1.376 | 3 | 1.387 | 0.718 | 0.423 | 1 | 1.144 | 1.290 | 4 | 1.423 | 0.745 | 0.300 | 1 | 1.355 | 1.505 | 5 | 1.438 | 0.912 | 0.465 | 1 | 1.143 | 1.354 | 6 | 1.399 | 0.792 | 0.274 | 1 | 1.245 | 1.332 | 7 | 1.435 | 0.564 | 0.281 | 1 | 1.146 | 1.178 | 8 | 1.400 | 0.734 | 0.217 | 1 | 1.086 | 1.152 | 9 | 1.437 | 0.568 | 0.226 | 1 | 1.107 | 1.151 | 10 | 1.435 | 0.570 | 0.308 | 1 | 1.105 | 1.164 | 11 | 1.433 | 0.758 | 0.180 | 1 | 1.071 | 1.149 | 12 | 1.438 | 0.546 | 0.313 | 1 | 1.088 | 1.121 | 13 | 1.434 | 0.654 | 0.280 | 1 | 1.100 | 1.136 | 14 | 1.430 | 0.651 | 0.141 | 1 | 1.069 | 1.144 | 15 | 1.431 | 0.656 | 0.253 | 1 | 1.085 | 1.166 | 16 | 1.436 | 0.712 | 0.389 | 1 | 1.112 | 1.185 | 17 | 1.406 | 0.681 | 0.130 | 1 | 1.057 | 1.127 | 18 | 1.435 | 0.752 | 0.274 | 1 | 1.124 | 1.156 | 19 | 1.436 | 0.811 | 0.322 | 1 | 1.092 | 1.164 | 20 | 1.437 | 0.590 | 0.278 | 1 | 1.153 | 1.149 |
| Average | 1.425 | 0.681 | 0.287 | 1 | 1.131 | 1.208 |
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