Research Article
p-Optimality-Based Multiobjective Root System Growth Algorithms for Multiobjective Applications
Table 11
The best compromise solutions for loss and cost.
| ā | p-MORSGA | MOABC | NSGA-II | MOPSO |
| PG1 | 4.3822 | 8.5941 | 3.5519 | 10.5911 | PG2 | 24.9932 | 28.1041 | 12.8737 | 19.6955 | PG3 | 78.9744 | 73.6835 | 87.8831 | 81.9942 | PG4 | 104.1988 | 104.6922 | 92.0908 | 95.3140 | PG5 | 8.9811 | 16.5047 | 28.0134 | 11.9914 | PG6 | 61.9852 | 49.8818 | 62.7941 | 71.4352 | f1 (cost) | 620.5899 | 622.2713 | 622.2812 | 628.2924 | f3 (loss) | 1.6791 | 1.6854 | 1.7991 | 1.5963 |
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