Research Article
Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms
Table 1
Results for each combination of GA parameters.
| Population size | 40 | 100 |
| Mutation rate | 0.0025 | 0.025 | 0.01 | 0.025 |
| Crossover rate | 0.5 | 0.65 | 0.5 | 0.65 | 0.65 | 0.65 |
| Best individual found
| (a) 75.53 | (a) 82.30 | (a) 82.64 | (a) 68.84** | (e) 89.04 | (e) 87.72 | (b) 81.72 | (b) 77.32 | (b) 88.02 | (b) 86.60 | (c) 82.07 | (c) 76.27 | (c) 87.95 | (c) 88.11 | | | | (d ) 87.43 | (a)* 88.98 | (a)* 81.91 | (a)* 89.51 | (a)* 90.77 |
| Best individual average | 79.64 | 79.28 (a, c) | 86.20 | 82.74 | | | | | | 87.38 (b, c, d) | | |
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( ) Initial population. *Elitism. **Anomalous evolution.
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