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一种新粒子群优化算法及其实际工程应用

卫良保 苏洋 韩斌

起重运输机械Issue(4):32-35,4.
起重运输机械Issue(4):32-35,4.

一种新粒子群优化算法及其实际工程应用

卫良保 1苏洋 1韩斌1

作者信息

  • 1. 太原科技大学重大装备机械结构 CAD/CAE 实验室 太原 030024
  • 折叠

摘要

Abstract

In view of the optimal problem that the particle group algorithm is impossible to solve the mixed discrete variable,the paper takes the combined section beam of the bridge crane as the study object,puts forward a constraint parti-cle group algorithm combining the continual variable with discrete variable.Different from the round integral value variables of the traditional discrete particle group algorithm,the algorithm in the paper classifies the design variables into continual variable,regular variable and special discrete variable.Traditional,rounding,and random step speed improved measures are taken respectively so that the particle group can move in and out of the feasible domain,to gradually approach the opti-mal point,which can solve the girder optimal problem in the combined section beam of the bridge crane and give a feasible improved particle group algorithm for certain special types of optimal problem combining the continual variable with discrete variable.

关键词

桥式起重机/粒子群/离散变量/截面梁/改进算法

Key words

bridge crane/particle group/discrete variable/section beam/improved algorithm

分类

机械制造

引用本文复制引用

卫良保,苏洋,韩斌..一种新粒子群优化算法及其实际工程应用[J].起重运输机械,2016,(4):32-35,4.

起重运输机械

1001-0785

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