Research Article
Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms
Table 3
Simulation results of different algorithms for
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| Algorithm | Stats | (1.0) | (0.0) | (0.0) | (−78.332314) | (0.0) |
| PSO | Best | 1.0 | 0.0 | 0.0 | | | Mean | 0.999984 | 0.11968 | 0.003795 | | 1.798256 | Std. | | | | | |
| CMAES | Best | 0.999925 | 0.029721 | 0.0 | | 0.0 | Mean | 0.996273 | 0.070160 | 0.001008 | | 0.254623 | Std. | | | | | |
| SaDE1 | Best | 0.999998 | 0.000527 | 0.0 | | | Mean | 0.997836 | 0.045876 | 0.002766 | | 0.387544 | Std. | | | | | |
| SaDE2 | Best | 1.0 | 0.000561 | 0.0 | | | Mean | 0999328 | 0.001673 | 0.007731 | | 0.913510 | Std. | | | | | |
| T-AAGA | Best | 1.0 | 0.0 | 0.0 | −78.332306 | 0.0 | Mean | 0.999973 | 0.007468 | 5.22E − 05 | −77.453346 | 0.118650 | Std. | 4.05E − 06 | 1.44E − 04 | 6.05E − 05 | 2.36E − 00 | 2.03E − 02 |
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