Research Article
Novel Methods Generated by Genetic Programming for the Guillotine-Cutting Problem
Table 5
Evaluation of algorithms with instances in groups GT2 and GT3.
| Algorithm | Avg. error (%) GT2 | Hits GT2 | Time (s) GT2 | Avg. error (%) GT3 | Hits GT3 | Time (s) GT3 |
| CONS | 4.53 | 0 | 2.45 | 3.36 | 0 | 2.75 | GRASP | 1.63 | 2 | 142.44 | 0.73 | 7 | 158.4 | TABU | 0.34 | 5 | 1459.86 | 0.25 | 9 | 1730.1 |
|
|