Research Article
A Novel Approach to Supply the Water Reservoir Demand Based on a Hybrid Whale Optimization Algorithm
Table 4
Results obtained through ten times of randomly running the three algorithms.
| | Run | Differential evolution | Whale optimization | Improved whale optimization |
| | 1 | 26.79 | 34.22 | 25.92 | | 2 | 26.51 | 32.21 | 25.81 | | 3 | 26.41 | 33.75 | 25.78 | | 4 | 24.35 | 33.74 | 25.91 | | 5 | 25.55 | 31.63 | 25.8 | | 6 | 25.63 | 33.56 | 25.68 | | 7 | 26.75 | 32.95 | 25.73 | | 8 | 24.79 | 31.78 | 25.74 | | 9 | 25.05 | 32.68 | 25.65 | | 10 | 26.6 | 32.52 | 25.36 | | Average | 25.84 | 32.9 | 25.74 | | Worst response | 26.79 | 34.22 | 25.92 | | Best response | 24.35 | 31.63 | 25.36 | | Standard deviation | 0.89 | 0.89 | 0.16 | | Variation coefficient | 0.034 | 0.027 | 0.006 | | Nonlinear programming minimum value | 12.553 |
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