The GA to the optimal design for crane girder and research on its optimization performances

According to the research status of optimal design for crane girder and the condition of practical design in field, it was proposed that the optimal design for crane girder belongs to optimization of nonlinear discrete variables with constraints. Based on this, the genetic algorithm (GA) model to the optimal design for crane girder was constructed. Meanwhile, taking practical engineering as an example, optimization performances of this algorithm model were researched. The results show that: the algorithm model constructed is simple and practical, with high convergence speed and good global convergence rate and distribution. The algorithm models of optimal design for crane girder and similar optimization problems could be constructed by using this approach, and the satisfied optimization results with a certain accuracy could be obtained within the acceptable time. This research not only could provide reliable theoretical guidance for the crane engineers but also offer a new way for other similar optimization problems.