Table 28.
Comparative analysis of rolling element design variables
Method | CSMA | WCA [140] | SCA [141] | MFO [16] | MVO [142] |
---|---|---|---|---|---|
Values for variables | |||||
r1 | 125.7227 | 125.72 | 125 | 125 | 125.6002 |
r2 | 21.4233 | 21.42300 | 21.03287 | 21.03287 | 21.32250 |
r3 | 11.00116 | 10.01030 | 10.96571 | 10.96571 | 10.97338 |
r4 | 0.515 | 0.515000 | 0.515 | 0.515 | 0.515 |
r5 | 0.515 | 0.515000 | 0.515 | 0.515000 | 0.515000 |
r6 | 0.4944 | 0.401514 | 0.5 | 0.5 | 0.5 |
r7 | 0.6986 | 0.659047 | 0.7 | 0.67584 | 0.68782 |
r8 | 0.3 | 0.300032 | 0.3 | 0.300214 | 0.301348 |
r9 | 0.03346 | 0.040045 | 0.027780 | 0.02397 | 0.03617 |
r10 | 0.60049 | 0.600000 | 0.62912 | 0.61001 | 0.61061 |
Optimum fitness | − 85,534.166 | 85,538.48 | 83,431.11 | 84,002.524 | 84,491.266 |
Bold values indicate the results of the Chaotic variant of the Slime Mould Algorithm