Research Article
A Pareto-Based Adaptive Variable Neighborhood Search for Biobjective Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time
Table 3
Comparison results of the IGD metric between different algorithms.
| | | Algorithms | Improvement | Sig | MOPGA | NSGA-II | PABOVNS | Versus MOPGA | Versus NSGA-II | Versus MOPGA | Versus NSGA-II |
| 3 | 30 | 0.0014 | 0.0015 | 0.0014 | 0.00% | 6.67% | − | − | 80 | 0.0035 | 0.0036 | 0.0034 | 2.86% | 5.56% | − | − | 100 | 0.0050 | 0.0053 | 0.0048 | 4.00% | 9.43% | − | + | 5 | 30 | 0.0037 | 0.0040 | 0.0037 | 0.00% | 7.50% | − | + | 80 | 0.0080 | 0.0083 | 0.0078 | 2.50% | 6.02% | − | + | 100 | 0.0126 | 0.0122 | 0.0117 | 7.14% | 4.10% | + | + | 8 | 30 | 0.0124 | 0.0128 | 0.0119 | 4.03% | 7.03% | + | + | 80 | 0.0409 | 0.0415 | 0.0387 | 5.38% | 6.75% | + | + | 100 | 0.0584 | 0.0596 | 0.0560 | 4.11% | 6.04% | + | + |
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