东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2003, Vol. 24 ›› Issue (10): 990-993.DOI: -

• 论著 • 上一篇    下一篇

基于混合遗传算法的建筑结构优化设计

张延年;刘斌;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;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:2003-10-15 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)·

Hybrid genetic algorithm for optimum design of building structures

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

  1. (1) Sch. of Resource 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:2003-10-15 Published:2013-06-24
  • Contact: Zhang, Y.-N.
  • About author:-
  • Supported by:
    -

RichHTML

1

PDF (PC)

1468

摘要： 提出一种离散变量结构优化设计的单向搜索算法并与标准遗传算法结合成混合遗传算法,即发挥了单向搜索算法省时、高效、局部搜索能力强的特点,又发挥了遗传算法全局性好的特点·算例结果表明,该方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·这种混合遗传算法优于标准遗传算法和单向搜索算法,是兼二者之长,弃二者之短的高效的理想优化设计方法·

关键词: 全局最优, 离散变量, 结构优化, 单向搜索算法, 遗传算法, 标准遗传算法, 混合遗传算法

Abstract: A hybrid genetic algorithm (HGA) composed of the standard genetic algorithm (SGA) and unidirectional searching algorithm (USA) is proposed, taking their advantages of time saving, high efficiency and powerfully local searching capability of USA, as well as the global searching capability of genetic algorithm (GA). The results by exemplification show that this method can not only be used directly to work out the optimum structural design with discrete variables to constrain both stress and cross-section area but deal with the discrete structural optimization featured with multi-loading, multi-constraints and multi-variables. HGA, as an efficient optimal method having advantages of both SGA and USA without their disadvantages, is superior to either one.

中图分类号: