Research Article
Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms
Table 6
Results and comparison of ECGOAs with GOA (50-D) for multimodal functions.
| Algorithm | Statistical parameters | F6 | F7 | F8 | F9 | F10 |
| ECGOA1 | Max | −13284.9 | 525.3938 | −59.4202 | 1142.297 | 5.99E + 08 | SD | 1468.401 | 61.31428 | 0.128399 | 376.3986 | 179942439 | Mean | −16012.5 | 441.7274 | −59.6647 | 474.3385 | 130982138.6 | Min | −18346 | 296.6225 | −59.8477 | 80.21982 | 9945376.637 |
| ECGOA2 | Max | −13222.8 | 568.819 | −59.4939 | 1225.204 | 518183195.7 | SD | 1284.353 | 59.19765 | 0.114828 | 380.9211 | 161215153.4 | Mean | −15729.6 | 431.9621 | −59.682 | 526.118 | 111311331.7 | Min | −17918.7 | 321.537 | −59.9695 | 92.68036 | 8548635.153 |
| ECGOA3 | Max | −12054.8 | 615.8589 | −59.4566 | 1189.236 | 717878837.1 | SD | 1475.55 | 70.58729 | 0.119339 | 325.6841 | 234394118.5 | Mean | −15601.9 | 455.3608 | −59.6446 | 488.7296 | 203256596.5 | Min | −18405 | 313.2195 | −59.8967 | 109.8307 | 8852551.366 |
| ECGOA4 | Max | −12155.6 | 486.4432 | −59.4112 | 1128.317 | 802793748.5 | SD | 1175.43 | 50.69295 | 0.12958 | 343.5583 | 260492546.8 | Mean | −15259.2 | 410.6172 | −59.6654 | 417.0988 | 194442446.2 | Min | −16864.5 | 316.0931 | −59.8891 | 77.3793 | 7577441.415 |
| ECGOA5 | Max | −13473.6 | 536.6068 | −59.4432 | 1395.387 | 506974142.9 | SD | 1503.746 | 49.9885 | 0.14537 | 383.249 | 146280518.5 | Mean | −15499.8 | 429.7536 | −59.7203 | 523.472 | 101913643.5 | Min | −18340.6 | 353.849 | −60.0317 | 96.59476 | 8061427.882 |
| ECGOA6 | Max | −12379 | 561.8097 | −59.4954 | 1562.137 | 622102603.5 | SD | 1635.44 | 75.40271 | 0.115495 | 390.2075 | 201123569.1 | Mean | −15574.9 | 431.8302 | −59.6764 | 381.6959 | 152537664.3 | Min | −18784 | 278.6123 | −59.9099 | 72.10621 | 5058058.625 |
| ECGOA7 | Max | −13522.3 | 611.5379 | −59.5858 | 924.5556 | 1019814442 | SD | 1291.999 | 81.91863 | 0.083408 | 253.7802 | 296529381.7 | Mean | −16657.1 | 442.2678 | −59.7265 | 360.7756 | 207773478.8 | Min | −19647.9 | 283.6656 | −59.8738 | 112.8999 | 6189273.462 |
| ECGOA8 | Max | −12906.6 | 522.0567 | −59.4512 | 1035.483 | 469635197.1 | SD | 1467.799 | 53.46532 | 0.15148 | 291.7955 | 156859406.9 | Mean | −15172.3 | 422.7514 | −59.6563 | 401.8186 | 111764679.8 | Min | −18254.9 | 290.0732 | −60.062 | 96.79589 | 5845757.794 |
| ECGOA9 | Max | −13639.7 | 543.6966 | −59.3504 | 1138.901 | 434575957.9 | SD | 1417.122 | 80.27476 | 0.119305 | 367.9628 | 173595240.7 | Mean | −15904.4 | 426.5996 | −59.6111 | 457.5753 | 130924283.2 | Min | −18462.9 | 262.1963 | −59.8748 | 94.65694 | 6641433.378 |
| ECGOA10 | Max | −13343.5 | 580.2786 | −59.3751 | 940.1151 | 601504311 | SD | 1218.772 | 56.89642 | 0.144239 | 286.1847 | 172390624.5 | Mean | −15770 | 460.4834 | −59.7354 | 336.8918 | 119948547.1 | Min | −18108 | 365.7742 | −60.151 | 96.49957 | 11133246.78 |
| GOA [16] | Max | −13843.7 | 556.5219 | −59.4587 | 1254.326 | 524047875.8 | SD | 1266.274 | 61.51136 | 0.142779 | 341.6776 | 125063391.3 | Mean | −16059.7 | 446.7562 | −59.6615 | 528.9932 | 60674853.38 | Min | −18377.6 | 283.9794 | −60.076 | 113.8766 | 8321958.122 |
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