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