Research Article
A Hybrid Method for Truss Mass Minimization considering Uncertainties
Table 1
Summary of parameters for each optimization method.
| GA | DE | PSO | FMA | HGPS |
| Number of individuals | 200 | Number of individuals | 50 | Number of particles | 50 | Number of particles | 50 | Number of individuals | 50 | Crossover | one point | Weighting ratio | 1.5 | Social constant | 2.01 | Beta | 1.0 | Social constant/cognitive constant | 2.01/2.01 | Probability of crossover | 80% | Crossover prob. | 0.8 | Cognitive constant | 2.01 | | 0.1 | Probability of crossover | 80% | Probability of mutation | 1% | Search Starting point | | Inertia moment | 0.8 | Gamma | 15 | Probability of mutation | 1% | Tolerance (successive Obj. Func., design variable) | | Tolerance (successive Obj. Func., design variable or mesh size) | | Tolerance (successive Obj. Func., design variable) | | Tolerance (successive Obj. Func., design variable) | | Tolerance (successive Obj. Func., design variable) | | Maximum number of generations | 200 | Maximum number of iterations | 800 | Maximum number of iterations | 800 | Maximum number of iterations | 800 | Maximum number of iterations | 800 |
|
|