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基于改进粒子群算法的起重机箱形主梁优化设计
引用本文:苏军朝,程文明,濮德璋,邬钱涌.基于改进粒子群算法的起重机箱形主梁优化设计[J].起重运输机械,2011(6):11-13.
作者姓名:苏军朝  程文明  濮德璋  邬钱涌
作者单位:西南交通大学机械工程研究所,成都,610031
基金项目:中央高校基本科研业务费专项资金资助
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。

关 键 词:粒子群  主梁  优化  约束条件

Crane box girder optimization design based on improved particle swarm algorithm
Su Junchao,Cheng Wenming,Pu Dezhang,Wu Qianrong.Crane box girder optimization design based on improved particle swarm algorithm[J].Hoisting and Conveying Machinery,2011(6):11-13.
Authors:Su Junchao  Cheng Wenming  Pu Dezhang  Wu Qianrong
Abstract: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.
Keywords:particle swarm  girder  optimization  constraint condition
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