Research Article
A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm
Table 5
Comparison of optimization results obtained for the multimodal benchmark functions.
| AL | Runs = 30, N = 30, and T = 1000 | | DE | BBO | BSA | PSO | HS | GSA | WOA | WOA-DE | WOA-BSA |
| F8 | Best | −12569.48662 | −9288.859115 | −12319.8552 | −8562.082036 | −12569.47154 | −3257.715637 | −8674.343572 | −8985.661303 | −10577.83345 | Mean | −12565.53865 | −8297.653051 | −11982.40966 | −6118.655936 | −12568.80513 | −2434.32431 | −6658.410197 | −7600.141184 | −7657.917372 | Std | 21.623781 | 497.301094 | 222.38506 | 1574.830603 | 0.909111 | 355.937095 | 863.971262 | 861.181057 | 1183.224502 |
| F9 | Best | 44.307253 | 29.244538 | 16.598597 | 14.992992 | 17.949826 | 14.924381 | 0 | 0 | 0 | Mean | 56.783475 | 53.437985 | 25.788633 | 46.538306 | 25.466452 | 25.802587 | 0 | 3.672248 | 0 | Std | 6.266486 | 14.333435 | 4.03673 | 14.270927 | 4.772648 | 6.630417 | 0 | 20.113732 | 0 |
| F10 | Best | 4.23E − 07 | 0.226971 | 0.007536 | 3.00E − 06 | 1.080969 | 5.45E − 09 | 8.88E − 16 | 8.88E − 16 | 8.88E − 16 | Mean | 7.02E − 07 | 0.349244 | 0.020786 | 0.08323 | 2.063648 | 7.70E − 09 | 4.44E − 15 | 4.20E − 15 | 3.97E − 15 | Std | 1.52E − 07 | 0.070199 | 0.011333 | 0.317495 | 0.425232 | 1.50E − 09 | 2.29E − 15 | 1.30E − 15 | 2.03E − 15 |
| F11 | Best | 1.44E − 11 | 0.503713 | 0.001224 | 7.42E − 12 | 0.120691 | 3.009729 | 0 | 0 | 0 | Mean | 9.80E − 10 | 0.766039 | 0.026851 | 0.011493 | 0.618727 | 8.568461 | 0.003104 | 0.001092 | 0.001282 | Std | 3.07E − 09 | 0.11031 | 0.029255 | 0.009701 | 0.275077 | 4.065895 | 0.011816 | 0.005981 | 0.007021 |
| F12 | Best | 2.39E − 13 | 0.001193 | 3.00E − 06 | 3.38E − 14 | 0.000383 | 3.75E − 19 | 0.001352 | 0.003179 | 0.002984 | Mean | 1.00E − 12 | 0.002505 | 6.30E − 05 | 0.003456 | 0.000581 | 0.151627 | 0.006188 | 0.013432 | 0.409258 | Std | 1.05E − 12 | 0.000844 | 8.00E − 05 | 0.018927 | 0.000121 | 0.210923 | 0.006962 | 0.004444 | 1.60174 |
| F13 | Best | 1.70E − 12 | 0.023921 | 8.00E − 05 | 5.23E − 12 | 0.006145 | 5.94E − 18 | 0.025211 | 0.122758 | 0.080548 | Mean | 4.31E − 12 | 0.044601 | 0.000741 | 0.001831 | 0.013234 | 0.007331 | 0.233207 | 0.468482 | 0.47475 | Std | 2.69E − 12 | 0.012881 | 0.000969 | 0.004165 | 0.005965 | 0.025745 | 0.181659 | 0.238598 | 0.224147 |
| F14 | Best | 0.998004 | 0.998004 | 0.998004 | 0.998004 | 0.998004 | 0.998118 | 0.998004 | 0.998004 | 0.998004 | Mean | 0.998004 | 6.813974 | 0.998004 | 3.459539 | 0.998004 | 4.082277 | 2.47579 | 3.454612 | 2.108894 | Std | 0 | 5.363613 | 4.12E − 17 | 2.863628 | 1.87E − 14 | 2.690671 | 2.445473 | 3.273113 | 2.790461 |
| F15 | Best | 0.000352 | 0.000419 | 0.000307 | 0.000308 | 0.000401 | 0.001284 | 0.000308 | 0.000307 | 0.000307 | Mean | 0.000577 | 0.006093 | 0.000329 | 0.000794 | 0.004004 | 0.002584 | 0.000601 | 0.000513 | 0.000468 | Std | 0.000109 | 0.008761 | 4.10E − 05 | 0.000233 | 0.007444 | 0.002019 | 0.000315 | 0.000377 | 0.000382 |
| F16 | Best | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | Mean | −1.031628 | −0.977217 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | −1.031628 | Std | 6.71E − 16 | 0.207068 | 6.12E − 16 | 6.78E − 16 | 3.53E − 08 | 5.13E − 16 | 3.86E − 11 | 6.71E − 16 | 5.98E − 16 |
| F17 | Best | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | Mean | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397887 | 0.397888 | 0.397887 | 0.397887 | Std | 0 | 9.33E − 11 | 0 | 0 | 4.37E − 08 | 0 | 9.30E − 07 | 0 | 1.25E − 13 |
| F18 | Best | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | Mean | 3 | 3.9 | 3 | 3 | 3.900137 | 3 | 3.000014 | 3 | 3 | Std | 1.27E − 15 | 4.929503 | 2.02E − 15 | 1.52E − 15 | 4.929483 | 2.67E − 15 | 3.80E − 05 | 7.82E − 16 | 1.66E − 15 |
| F19 | Best | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | Mean | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862782 | −3.862628 | −3.862782 | −3.862782 | Std | 2.71E − 15 | 2.29E − 15 | 2.71E − 15 | 2.70E − 15 | 1.00E − 06 | 2.39E − 15 | 0.000366 | 2.66E − 15 | 2.51E − 15 |
| F20 | Best | −3.321995 | −3.321995 | −3.321995 | −3.321995 | −3.321994 | −3.321995 | −3.321989 | −3.321995 | −3.321995 | Mean | −3.321989 | −3.270475 | −3.321995 | −3.282364 | −3.30217 | −3.321995 | −3.264959 | −3.293815 | −3.254599 | Std | 3.20E − 05 | 0.059923 | 1.73E − 14 | 0.057005 | 0.045065 | 1.47E − 15 | 0.071826 | 0.051995 | 0.059944 |
| F21 | Best | −10.1532 | −10.1532 | −10.1532 | −10.1532 | −10.153199 | −10.1532 | −10.153181 | −10.1532 | −10.1532 | Mean | −10.049112 | −5.725156 | −10.1532 | −8.062579 | −5.406265 | −6.043604 | −8.882256 | −8.882841 | −8.462151 | Std | 0.531474 | 3.327602 | 1.15E − 09 | 3.091228 | 3.673677 | 3.495936 | 2.378758 | 2.378893 | 2.686626 |
| F22 | Best | −10.402941 | −10.402941 | −10.402941 | −10.402941 | −10.40294 | −10.402941 | −10.40292 | −10.402941 | −10.402941 | Mean | −10.211001 | −5.529595 | −10.402941 | −9.521178 | −6.545124 | −10.402941 | −8.448955 | −7.763089 | −7.96332 | Std | 1.045029 | 3.343034 | 1.69E − 14 | 2.005406 | 3.686937 | 1.32E − 15 | 2.836906 | 3.128103 | 2.86345 |
| F23 | Best | −10.53641 | −10.53641 | −10.53641 | −10.53641 | −10.53641 | −10.53641 | −10.536335 | −10.53641 | −10.53641 | Mean | −10.536383 | −5.855753 | −10.53641 | −9.16093 | −5.180275 | −10.175835 | −9.003007 | −7.990287 | −8.647563 | Std | 0.000108 | 3.655594 | 1.11E − 09 | 2.570428 | 3.329307 | 1.485436 | 2.591415 | 3.225805 | 2.733822 |
| Rank | Best | 1 | 8 | 3 | 2 | 7 | 5 | 6 | 4 | 2 | Mean | 2 | 9 | 1 | 6 | 8 | 7 | 5 | 3 | 4 | Std | 1 | 9 | 2 | 6 | 8 | 3 | 7 | 4 | 5 |
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