Research Article
p-Optimality-Based Multiobjective Root System Growth Algorithms for Multiobjective Applications
Table 6
The best compromise solutions for cost, emission, and loss.
| ā | p-MORSGA | MOABC | NSGA-II | MOPSO |
| PG1 | 18.9832 | 17.8933 | 35.6514 | 21.9132 | PG2 | 33.085 | 27.0342 | 53.9965 | 15.2151 | PG3 | 67.0249 | 70.8835 | 47.6396 | 90.2566 | PG4 | 82.1065 | 85.2331 | 45.7462 | 84.3363 | PG5 | 29.0455 | 27.0337 | 55.0045 | 7.0304 | PG6 | 53.2144 | 53.3102 | 46.0104 | 65.4609. | f1 fuel cost | 610.0513 | 614.0154 | 622.449 | 631.3809 | f2 (emission) | 0.2219 | 0.2376 | 0.2323 | 0.2448 | f3 (loss) | 2.1488 | 2.1790 | 3.9912 | 2.8491 |
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