Research Article
A Comparative Analysis of Nature-Inspired Optimization Approaches to 2D Geometric Modelling for Turbomachinery Applications
Table 1
The fitness values obtained from 30 independent runs.
| ā | RCGA | BGA | DE | PSO | IWO |
| 1 | 0.057 | 0.04081 | 0.037 | 0.8259 | 0.2795 | 2 | 0.0593 | 0.0401 | 0.037 | 0.0828 | 0.198 | 3 | 0.0739 | 0.04049 | 0.037 | 0.8142 | 0.3549 | 4 | 0.0537 | 0.042 | 0.037 | 1.8263 | 0.1485 | 5 | 0.0479 | 0.0467 | 0.037 | 1.1282 | 0.8118 | 6 | 0.0487 | 0.04077 | 0.037 | 0.9122 | 0.1485 | 7 | 0.072 | 0.04054 | 0.037 | 0.7141 | 0.1485 | 8 | 0.0514 | 0.03946 | 0.037 | 0.6595 | 0.866 | 9 | 0.064 | 0.04125 | 0.037 | 0.5901 | 1.4464 | 10 | 0.071 | 0.04348 | 0.037 | 0.8109 | 0.2169 | 11 | 0.0511 | 0.04127 | 0.037 | 0.7419 | 0.1485 | 12 | 0.0502 | 0.03894 | 0.037 | 0.1108 | 0.8994 | 13 | 0.0621 | 0.04075 | 0.037 | 1.7911 | 0.2255 | 14 | 0.0501 | 0.04204 | 0.037 | 0.7631 | 0.1889 | 15 | 0.0661 | 0.03943 | 0.037 | 0.245 | 0.1889 | 16 | 0.0493 | 0.03891 | 0.037 | 0.8892 | 0.1889 | 17 | 0.0534 | 0.03956 | 0.037 | 0.2679 | 0.8807 | 18 | 0.0511 | 0.03851 | 0.037 | 0.5432 | 0.7837 | 19 | 0.0522 | 0.03963 | 0.037 | 1.9922 | 0.2335 | 20 | 0.1003 | 0.04568 | 0.037 | 0.2032 | 0.1889 | 21 | 0.0592 | 0.04093 | 0.037 | 0.8074 | 0.1842 | 22 | 0.053 | 0.03999 | 0.037 | 0.7006 | 0.2008 | 23 | 0.0708 | 0.04271 | 0.037 | 0.7102 | 0.828 | 24 | 0.0624 | 0.03794 | 0.037 | 0.7437 | 0.2368 | 25 | 0.0627 | 0.04044 | 0.037 | 0.2942 | 1.5037 | 26 | 0.0645 | 0.04884 | 0.037 | 0.1837 | 1.1268 | 27 | 0.0579 | 0.04599 | 0.037 | 0.2674 | 1.1532 | 28 | 0.0531 | 0.04262 | 0.037 | 1.0189 | 0.1485 | 29 | 0.055 | 0.04305 | 0.037 | 1.4319 | 0.1775 | 30 | 0.1024 | 0.04206 | 0.037 | 1.717 | 0.2158 |
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