东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2004, Vol. 25 ›› Issue (7): 692-694.DOI: -

• 论著 • 上一篇    下一篇

改进遗传算法在建筑结构优化设计中的应用

张延年;刘斌;董锦坤;郭鹏飞   

  1. 东北大学资源与土木工程学院;东北大学资源与土木工程学院;东北大学资源与土木工程学院;辽宁工学院土木建筑系 辽宁沈阳　110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2004-07-15 发布日期:2013-06-24
  • 通讯作者: Zhang, Y.-N.
  • 作者简介:-
  • 基金资助:
    辽宁省高等学校科研项目(990821107)·

Application of improved genetic algorithm in optimum design of building structures

Zhang, Yan-Nian (1); Liu, Bin (1); Dong, Jin-Kun (1); Guo, Peng-Fei (2)   

  1. (1) Sch. of Resources and Civil Eng., Northeastern Univ., Shenyang 110004, China; (2) Dept. of Civil Eng., Liaoning Inst. of Technol., Jinzhou 121001, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-07-15 Published:2013-06-24
  • Contact: Zhang, Y.-N.
  • About author:-
  • Supported by:
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摘要： 针对标准遗传算法在迭代过程中经常出现未成熟收敛、发生振荡、随机性太大等缺点,提出一种新的遗传算子转基因算子,用于对标准遗传算法的改进·这种转基因算子有效地利用了计算适应度的信息,很好地保护了最优个体,并能提高群体中个体的适应度·包含转基因算子的改进遗传算法能直接计算具有应力约束和截面尺寸约束的离散变量结构优化设计问题,也能处理同时具有稳定约束和位移约束的多工况、多约束、多变量的离散变量结构优化设计问题·算例结果表明,改进遗传算法的收敛特性和优化设计结果远好于标准遗传算法,是一种理想的建筑结构优化设计方法·

关键词: 全局最优, 离散变量, 结构优化, 遗传算法, 改进遗传算法, 转基因算子

Abstract: In view of that the standard genetic algorithm (SGA) has such frequent shortcomings as premature convergence, oscillation and over-randomization in iterative process, a genetic operator named transgenic operator is proposed to improve SGA. The transgenic operator can make good use of the information of which the adaptability has been calculated, keep the best individual from missing, and improve the adaptability of every chromosome in the population. The improved genetic algorithm (IGA) including the transgenic operator could be used directly to work out the optimum structural design with discrete variables to constrain both stress and crass-section area and could be dealt with the discrete structural optimization featured with multi-loading, multi-constraints and multi-variables. The results by exemplification show that the performance of convergence and optimization results of IGA are superior to that of SGA and it is an ideal method for optimum design of building structures.

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