Truss configuration optimization and its minimum mass design by using genetic algorithms

Globally optimum searching for discrete variables in engineering structure optimization which is difficult to be resolved by traditional optimization methods is studied by use of genetic algorithms.Imitating biological evolution mechanism,truss configuration optimization of truss were analyzed using a plane beam truss as analysis model,and node coordinates and rod cross section characters as design parameters.Truss configuration optimization was realized under different conditions,while its mass would tend to the minimum.Feasibility for the utilization of genetic algorithm to shape optimization and to minimum mass design of truss is proved.