Research Article
Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems
Table 4
Results of unimodal benchmark functions.
| Benchmark function | Result | Algorithm | ABC | BA | GGSA | DA | PSOGSA | MFO | LMFO |
| () | Best | 19896.78 | 365717.3 | 16278.78 | 1513.435 | 34835.45 | 140219.4 | 1.2921E − 234 | Worst | 36049.23 | 456284 | 24262.84 | 52511.62 | 142227.4 | 240000.7 | 3.3309E − 183 | Mean | 26677.04 | 414807.8 | 19224.04 | 24716.82 | 94735.12 | 185588.4 | 1.1103E − 184 | Std | 4640.383 | 20515.24 | 1852.355 | 11046.55 | 25051.92 | 24177.67 | 0 |
| () | Best | 108.0735 | 1.83E + 84 | 149.7263 | 26.27986 | 637.56 | 420.5512 | 8.5E − 129 | Worst | 186.4672 | 3.9E + 99 | 189.8577 | 255.79923 | 8.06E + 40 | 722.4955 | 7.3E − 99 | Mean | 140.2811 | 1.45E + 98 | 165.8829 | 137.88594 | 2.69E + 39 | 560.1173 | 2.4E − 100 | Std | 14.5252 | 7.06E + 98 | 9.599018 | 56.674292 | 1.47E + 40 | 61.66749 | 1.3E − 99 |
| () | Best | 582404 | 823783.5 | 160277.3 | 69110.62 | 344077.3 | 462517.7 | 1.6E − 215 | Worst | 920006.2 | 4617625 | 1020727 | 906356.8 | 891332.5 | 1094366 | 6.4E − 167 | Mean | 757278.3 | 1572330 | 434895.9 | 342508.6 | 541491.3 | 772538.3 | 3.3E − 168 | Std | 72837.78 | 837152.1 | 190865.2 | 203490.9 | 142131.3 | 170946.5 | 0 |
| () | Best | 94.265 | 87.48997 | 20.44273 | 27.0486 | 76.25401 | 95.26014 | 6.1E − 117 | Worst | 97.40102 | 92.12282 | 31.30115 | 59.69617 | 98.74303 | 98.15999 | 6.18E − 82 | Mean | 95.8655 | 90.09865 | 27.12328 | 41.97914 | 95.69831 | 97.03653 | 2.06E − 83 | Std | 0.778229 | 1.330154 | 2.551274 | 7.80909 | 5.90858 | 0.687621 | 1.13E − 82 |
| () | Best | 16111660 | 88328339 | 2399953 | 4717141 | 2565682 | 3.61E + 08 | 196.9121 | Worst | 94041761 | 1.59E + 08 | 5103632 | 47976603 | 4.82E + 08 | 8.92E + 08 | 198.6685 | Mean | 41344878 | 1.33E + 08 | 3740872 | 18257995 | 1.35E + 08 | 6.14E + 08 | 198.2609 | Std | 17567952 | 18028179 | 643192.1 | 10933433 | 1.24E + 08 | 1.41E + 08 | 0.459128 |
| () | Best | 17165.43 | 384155.3 | 14899 | 4422.437 | 33665.58 | 136678.5 | 39.65709 | Worst | 30743.79 | 453905.5 | 24873 | 63473.4 | 109123.6 | 228511.5 | 42.92694 | Mean | 23922.99 | 417903 | 19220.47 | 24167.16 | 76561.32 | 180669.8 | 41.49763 | Std | 3074.406 | 17001.78 | 2314.721 | 12441.1 | 19018.55 | 24671.19 | 0.632867 |
| () | Best | 51.88092 | 0.400252 | 6.492429 | 9.23801 | 11.89278 | 1181.991 | 2.3E − 06 | Worst | 299.2207 | 0.744656 | 14.77883 | 181.7351 | 71.66514 | 2686.255 | 0.000427 | Mean | 157.1676 | 0.551746 | 9.090199 | 52.06488 | 19.83666 | 1908.788 | 8.56E − 05 | Std | 58.73575 | 0.072809 | 1.742479 | 39.34587 | 10.47516 | 360.7708 | 0.000108 |
| () | Best | 181.8735 | 172.1645 | 28.45978 | 14.59629 | 130.6204 | 168.6843 | 1.62807 | Worst | 198.3101 | 200.1905 | 40.21054 | 80.16251 | 169.9275 | 202.2427 | 1.840634 | Mean | 190.2888 | 188.036 | 33.67195 | 43.38706 | 153.398 | 187.9161 | 1.752264 | Std | 4.168661 | 6.867959 | 2.232835 | 13.6498 | 10.91374 | 7.601635 | 0.06096 |
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