Table 13 Evaluation results of the engineering problems.
From: Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
F | M | Optimization Algorithms | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HO | WOA | GWO | SSA | PSO | SCA | FA | GOA | TLBO | CMA-ES | MFO | AOA | IWO | ||
TCS | Mean | 0.012665 | 0.013544 | 0.012769 | 0.013057 | 0.013759 | 0.013033 | 0.01277 | 0.62228 | 0.012677 | 0.013488 | 0.013466 | 0.017608 | 0.012829 |
Best | 0.012665 | 0.012675 | 0.012672 | 0.012669 | 0.012667 | 0.012728 | 0.012666 | 0.013193 | 0.012665 | 0.012665 | 0.012667 | 0.013195 | 0.012713 | |
Worst | 0.012665 | 0.016002 | 0.013689 | 0.015436 | 0.016642 | 0.013222 | 0.01311 | 2.7935 | 0.012703 | 0.017773 | 0.017773 | 0.034425 | 0.014 | |
Std | 2.95E-09 | 0.0010105 | 0.00019007 | 0.00065595 | 0.0011223 | 0.00014162 | 0.0001116 | 1.0199 | 9.61E-06 | 0.0012441 | 0.001263 | 0.0080586 | 0.0002798 | |
Median | 0.012665 | 0.013124 | 0.012722 | 0.012824 | 0.013348 | 0.013033 | 0.012719 | 0.050421 | 0.012676 | 0.012973 | 0.013193 | 0.013261 | 0.012747 | |
Rank | 1 | 10 | 3 | 7 | 11 | 6 | 4 | 13 | 2 | 9 | 8 | 12 | 5 | |
PV | Mean | 6102.7 | 7217.2 | 6976 | 6304.6 | 6327.7 | 6718.2 | 6294.4 | 7817.5 | 12,292 | 6534.1 | 6587.4 | 6471.7 | 8758.1 |
Best | 6059.7 | 6149.7 | 6069.6 | 6059.7 | 6059.7 | 6173.7 | 6059.7 | 6059.7 | 6069.6 | 6059.7 | 6059.7 | 6059.7 | 6540.5 | |
Worst | 7306.6 | 7857.6 | 10,069 | 6820.4 | 7047.3 | 7690.7 | 7306.5 | 17,459 | 34,344 | 7368.1 | 7682.9 | 7306.9 | 11,672 | |
Std | 227.45 | 592.21 | 915.11 | 244.96 | 262.97 | 476.06 | 386.97 | 2691.5 | 6840.1 | 524.75 | 592.82 | 436.61 | 1704.9 | |
Median | 6059.7 | 7596.2 | 7307.6 | 6237.2 | 6315.8 | 6503.8 | 6090.5 | 6523.2 | 10,020 | 6315.9 | 6317.1 | 6363 | 8520.7 | |
Rank | 1 | 10 | 9 | 3 | 4 | 8 | 2 | 11 | 13 | 6 | 7 | 5 | 12 | |
WB | Mean | 1.7249 | 2.7799 | 1.7273 | 1.8772 | 1.7249 | 1.87 | 1.7249 | 3.9995 | 1.7249 | 1.7934 | 1.7768 | 2.4201 | 1.9001 |
Best | 1.7249 | 1.821 | 1.7254 | 1.7296 | 1.7249 | 1.7794 | 1.7249 | 1.9706 | 1.7249 | 1.7249 | 1.7249 | 2.0184 | 1.7268 | |
Worst | 1.7249 | 6.0369 | 1.7359 | 2.1965 | 1.7249 | 1.9655 | 1.7249 | 5.9584 | 1.7249 | 2.3189 | 2.3788 | 2.7457 | 2.2028 | |
Std | 1.16E-15 | 1.1889 | 0.0022462 | 0.14429 | 4.57E-09 | 0.036549 | 8.13E-08 | 1.0734 | 9.12E-16 | 0.13205 | 0.15727 | 0.14915 | 0.2014 | |
Median | 1.7249 | 2.1722 | 1.7266 | 1.8146 | 1.7249 | 1.8729 | 1.7249 | 3.8978 | 1.7249 | 1.732 | 1.7252 | 2.4641 | 1.7552 | |
Rank | 1 | 9 | 2 | 6 | 1 | 5 | 1 | 10 | 1 | 4 | 3 | 8 | 7 | |
WFLO | Mean | 0.0014571 | 0.0014576 | 0.0014672 | 0.0014678 | 0.0014621 | 0.0014644 | 0.0014581 | 0.0014662 | 0.0014735 | 0.0014689 | 0.0014752 | 0.0014635 | 0.0014638 |
Best | 0.0014557 | 0.0014565 | 0.0014638 | 0.0014653 | 0.0014595 | 0.0014608 | 0.0014567 | 0.0014622 | 0.0014669 | 0.0014612 | 0.0014683 | 0.0014583 | 0.0014581 | |
Worst | 0.0014596 | 0.0014593 | 0.0014692 | 0.0014702 | 0.0014662 | 0.0014671 | 0.0014616 | 0.0014686 | 0.001478 | 0.0014793 | 0.0014807 | 0.0014697 | 0.0014705 | |
Std | 6.39E-07 | 1.44E-06 | 1.19E-06 | 1.08E-06 | 1.80E-06 | 1.64E-06 | 1.10E-06 | 1.94E-06 | 2.64E-06 | 4.78E-06 | 3.82E-06 | 2.58E-06 | 3.40E-06 | |
Median | 0.0014563 | 0.0014575 | 0.0014673 | 0.0014683 | 0.0014621 | 0.0014647 | 0.0014579 | 0.0014671 | 0.0014738 | 0.0014689 | 0.0014758 | 0.0014633 | 0.0014638 | |
Rank | 1 | 2 | 9 | 10 | 4 | 7 | 3 | 8 | 12 | 11 | 13 | 5 | 6 | |