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

作　　者：苏军朝[1] 程文明[1] 濮德璋[1] 邬钱涌[1] 

机构地区：[1]西南交通大学机械工程研究所,成都610031

出　　处：《起重运输机械》2011年第6期11-13,共3页Hoisting and Conveying Machinery

基　　金：中央高校基本科研业务费专项资金资助(2010ZT03)

摘　　要：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.

关 键 词：粒子群 主梁 优化 约束条件 

分 类 号：TH21[机械工程—机械制造及自动化]