Table 11 Optimum results for speed reducer design problem
Algorithms | Optimal values for variables | Optimal cost | ||||||
|---|---|---|---|---|---|---|---|---|
b | m | p | ll | l2 | d1 | d2 | ||
EPO | 3.50123 | 0.7 | 17 | 7.3 | 7.8 | 3.33421 | 5.26536 | 2994.2472 |
SHO | 3.50159 | 0.7 | 17 | 7.3 | 7.8 | 3.35127 | 5.28874 | 2998.5507 |
PSO | 3.500019 | 0.7 | 17 | 8.3 | 7.8 | 3.352412 | 5.286715 | 3005.763 |
MVO | 3.508502 | 0.7 | 17 | 7.3 | 7.8 | 3.358073 | 5.286777 | 3002.928 |
SCA | 3.508755 | 0.7 | 17 | 7.3 | 7.8 | 3.461020 | 5.289213 | 3030.563 |
GSA | 3.600000 | 0.7 | 17 | 8.3 | 7.8 | 3.369658 | 5.289224 | 3051.120 |
GA | 3.510253 | 0.7 | 17 | 8.35 | 7.8 | 3.362201 | 5.287723 | 3067.561 |
HS | 3.520124 | 0.7 | 17 | 8.37 | 7.8 | 3.366970 | 5.288719 | 3029.002 |
GWO | 3.506690 | 0.7 | 17 | 7.380933 | 7.815726 | 3.357847 | 5.286768 | 3001.288 |
AFA | 3.500 | 0.700 | 0.700e+00 | 7.3027 | 7.8007 | 3.350 | 5.287 | 3027.354 |
MBA [32] | 3.500 | 0.700 | 0.700e+00 | 7.3007 | 7.716 | 3.350 | 5.287 | 3077.426 |
CS | 3.501 | 0.700 | 0.700e+00 | 7.6057 | 7.818 | 3.352 | 5.287 | 3052.128 |
KH | 3.500 | 0.700 | 0.700e+00 | 7.3667 | 7.823 | 3.350 | 5.287 | 3029.543 |
aDE | 3.500 | 0.7 | 17 | 7.3809 | 7.8 | 3.350 | 5.289 | 2992.1242 |
aPSO | 3.500 | 0.7 | 17 | 7.3809 | 7.8 | 3.350 | 5.289 | 2994.2442 |
haDEPSO | 3.500 | 0.7 | 17 | 7.3809 | 7.8 | 3.350 | 5.289 | 2990.3582 |