Research Article
A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm
Table 4
Comparison of optimization results obtained for the unimodal benchmark functions.
| AL | Runs = 30, N = 30, and T = 1000 | | DE | BBO | BSA | PSO | HS | GSA | WOA | WOA-DE | WOA-BSA |
| F1 | Best | 2.90E − 12 | 0.454643 | 0.000908 | 1.04E − 11 | 0.042385 | 4.64E − 17 | 2.76E − 167 | 6.92E − 190 | 1.62E − 187 | Mean | 1.33E − 11 | 1.013223 | 0.006257 | 9.73E − 09 | 0.063236 | 1.01E − 16 | 1.46E − 153 | 1.07E − 168 | 1.45E − 172 | Std | 9.98E − 12 | 0.311571 | 0.010917 | 4.23E − 08 | 0.010899 | 3.76E − 17 | 7.91E − 153 | 0 | 0 |
| F2 | Best | 3.99E − 08 | 0.271733 | 0.006726 | 1.00E − 05 | 0.575724 | 3.50E − 08 | 3.31E − 114 | 2.46E − 124 | 2.01E − 124 | Mean | 6.80E − 08 | 0.324236 | 0.020418 | 0.001313 | 0.727765 | 5.20E − 08 | 9.88E − 105 | 8.47E − 113 | 1.27E − 112 | Std | 1.95E − 08 | 0.041092 | 0.014974 | 0.004947 | 0.05865 | 1.17E − 08 | 4.94E − 104 | 4.21E − 112 | 5.75E − 112 |
| F3 | Best | 10808.03597 | 83.765444 | 394.952176 | 3.208562 | 3084.50285 | 195.538197 | 1677.30974 | 175.10162 | 532.871248 | Mean | 15723.1259 | 135.934273 | 878.22206 | 14.904551 | 5228.201445 | 409.456876 | 9735.512836 | 10045.18144 | 7621.728202 | Std | 2683.155994 | 34.026326 | 315.589252 | 7.677907 | 1591.552755 | 129.83509 | 3898.890192 | 5986.48178 | 4199.058749 |
| F4 | Best | 1.080885 | 0.742244 | 3.262876 | 0.311111 | 4.216935 | 1.35E − 08 | 0.019063 | 5.68E − 10 | 4.30E − 19 | Mean | 1.575045 | 0.972736 | 5.969996 | 0.563087 | 6.113542 | 1.264362 | 17.704825 | 14.259819 | 1.562263 | Std | 0.38751 | 0.123737 | 1.57968 | 0.153909 | 1.246667 | 1.284382 | 14.58112 | 17.566092 | 6.519626 |
| F5 | Best | 25.398273 | 39.474199 | 43.67835 | 11.716823 | 91.050677 | 25.861836 | 26.607341 | 25.886812 | 26.835697 | Mean | 38.31135 | 149.884822 | 114.032052 | 60.388778 | 342.973593 | 37.244874 | 27.1471 | 27.512334 | 27.496506 | Std | 21.417578 | 181.590232 | 35.216402 | 43.241123 | 492.144758 | 24.882941 | 0.485147 | 0.547347 | 0.539586 |
| F6 | Best | 2.88E − 12 | 0.6227 | 0.00076 | 2.51E − 11 | 0.048128 | 4.50E − 17 | 0.007148 | 0.012986 | 0.015406 | Mean | 8.90E − 12 | 1.071114 | 0.00788 | 9.68E − 09 | 0.070002 | 1.03E − 16 | 0.057661 | 0.263633 | 0.20125 | Std | 5.67E − 12 | 0.279422 | 0.008319 | 3.00E − 08 | 0.011199 | 4.46E − 17 | 0.078559 | 0.224346 | 0.192754 |
| F7 | Best | 0.016252 | 0.002011 | 0.012074 | 0.037104 | 0.035229 | 0.016733 | 0.000115 | 0.00016 | 0.0001 | Mean | 0.027322 | 0.006396 | 0.030674 | 0.078177 | 0.055369 | 0.049762 | 0.001935 | 0.0015 | 0.001579 | Std | 0.005743 | 0.002154 | 0.012799 | 0.023769 | 0.011801 | 0.021587 | 0.001959 | 0.001692 | 0.001761 |
| Rank | Best | 6 | 8 | 7 | 5 | 9 | 3 | 4 | 1 | 2 | Mean | 5 | 7 | 6 | 4 | 8 | 2 | 3 | 3 | 1 | Std | 1 | 5 | 6 | 4 | 7 | 1 | 2 | 3 | 1 |
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