Research Article
Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering
Table 8
Simulation results on the multimodal CSTR problem.
| Algorithm | Best | Mean | Worst | SD | +/=/− | Rank |
| RCBBOG | 0.13346 | 0.13550 | 0.14314 | | + | 6 | IHS | 0.13320 | 0.13469 | 0.13982 | | + | 5 | CMAES | 0.13837 | 0.14810 | 0.16288 | | + | 10 | CLPSO | 0.14920 | 0.16569 | 0.17957 | | + | 11 | JADE | 0.13310 | 0.13310 | 0.13311 | 8.27E − 07 | − | 1 |
| TLBO | 0.13311 | 0.13700 | 0.24445 | | + | 8 | mTLBO | 0.13310 | 0.14052 | 0.24445 | | + | 9 | DLTLBO | 0.13311 | 0.13321 | 0.13420 | | + | 3 | NIWTLBO | 0.13383 | 0.23744 | 0.24515 | | + | 12 | LETLBO | 0.13310 | 0.13682 | 0.24445 | | + | 7 | GOTLBO | 0.13311 | 0.13392 | 0.15669 | | + | 4 | LebTLBO | 0.13311 | 0.13312 | 0.13319 | 1.65E − 05 | / | 2 |
|
|
The best and the second best results are highlighted with boldface and italic, respectively.
|