Research Article
Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems
Table 10
Comparison results of the welded beam design problem.
| Algorithm | Optimum variables | Optimal cost | | | | |
| LMFO | 0.2020 | 3.3575 | 9.0938 | 0.2061 | 1.7165 | MFO [18] | 0.2057 | 3.4703 | 9.0364 | 0.2057 | 1.72452 | GGSA [29, 36] | 0.215917 | 3.314955 | 8.896195 | 0.215917 | 1.770829 | GA (Coello Coello) [37] | N/A | N/A | N/A | N/A | 1.8245 | GA (Deb) [38] | N/A | N/A | N/A | N/A | 2.3800 | GA (Deb) [39] | 0.2489 | 6.1730 | 8.1789 | 0.2533 | 2.4331 | HS (Lee and Geem) [40] | 0.2442 | 6.2231 | 8.2915 | 0.2443 | 2.3807 | Random [41] | 0.4575 | 4.7313 | 5.0853 | 0.6600 | 4.1185 | Simplex [41] | 0.2792 | 5.6256 | 7.7512 | 0.2796 | 2.5307 | David [41] | 0.2434 | 6.2552 | 8.2915 | 0.2444 | 2.3841 | APPROX [41] | 0.2444 | 6.2189 | 8.2915 | 0.2444 | 2.3815 |
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