Research Article

Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems

Table 10

Comparison results of the welded beam design problem.

AlgorithmOptimum variablesOptimal cost

LMFO0.20203.35759.09380.20611.7165
MFO [18]0.20573.47039.03640.20571.72452
GGSA [29, 36]0.2159173.3149558.8961950.2159171.770829
GA (Coello Coello) [37]N/AN/AN/AN/A1.8245
GA (Deb) [38]N/AN/AN/AN/A2.3800
GA (Deb) [39]0.24896.17308.17890.25332.4331
HS (Lee and Geem) [40]0.24426.22318.29150.24432.3807
Random [41]0.45754.73135.08530.66004.1185
Simplex [41]0.27925.62567.75120.27962.5307
David [41]0.24346.25528.29150.24442.3841
APPROX [41]0.24446.21898.29150.24442.3815