基于改进粒子群算法的起重机箱形主梁优化设计

Crane box girder optimization design based on improved particle swarm algorithm

针对具有约束条件的起重机主梁优化设计的问题,提出了基于约束规则的粒子群算法。该算法能够在整个可行解空间进行寻优,有效避免了陷入局部最优。计算实例表明:该算法在解决此类问题时,较之传统算法具有更好的优化效果,且效果明显。

According to the optimal design with constraint condition for crane girder,particle swarm optimization algorithm based on constraint rules is put forward.The algorithm can search optimum solution in the feasible solution space,and avoid the local optimum.An example shows：in solution of such problems,the algorithm mentioned in this paper has better optimization results than the traditional algorithm,and the effect is remarkable.