Research on Location Optimization of Seismic Reduction Device Based on Improved Genetic Algorithm

徐庆阳; 李爱群; 丁幼亮; 张志强; 胡灿阳

doi:10.13409/j.cnki.jdpme.2013.05.007

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Research on Location Optimization of Seismic Reduction Device Based on Improved Genetic Algorithm

更新时间：2025-12-11

- Research on Location Optimization of Seismic Reduction Device Based on Improved Genetic Algorithm
- Vol. 33, Issue 5, Pages: 530-535(2013)
- 作者机构：
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- DOI：10.13409/j.cnki.jdpme.2013.05.007
  CLC： 328;TU352.11
- Published：2013
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[1]徐庆阳,李爱群,丁幼亮,张志强,胡灿阳.基于改进遗传算法的结构被动控制系统位置优化研究[J].防灾减灾工程学报,2013,33(05):530-535.

徐庆阳, 李爱群, 丁幼亮, et al. Research on Location Optimization of Seismic Reduction Device Based on Improved Genetic Algorithm[J]. 2013, 33(5): 530-535.
[1]徐庆阳,李爱群,丁幼亮,张志强,胡灿阳.基于改进遗传算法的结构被动控制系统位置优化研究[J].防灾减灾工程学报,2013,33(05):530-535. DOI： 10.13409/j.cnki.jdpme.2013.05.007.

徐庆阳, 李爱群, 丁幼亮, et al. Research on Location Optimization of Seismic Reduction Device Based on Improved Genetic Algorithm[J]. 2013, 33(5): 530-535. DOI： 10.13409/j.cnki.jdpme.2013.05.007.

摘要

提出采用被动控制技术的减震结构位置优化分析方法及其数学模型。结合该类优化问题的特点与主要优化算法的数学原理

选取遗传算法作为结构减震装置位置优化分析工具

并在Matlab遗传工具箱基础上进行了改进

以提高寻优效率

进而通过目标函数程序的编制

实现了改进遗传算法在结构被动控制系统位置优化分析中的应用。最后

设置了2类不同的适应度函数

对一平面框架与一平面排架分别进行了结构减震布置优化与考虑阻尼器耗能效率的减震方案优化。结果表明

遗传算法以及相应的优化程序可以有效准确地实现结构减震位置的优化分析。

Abstract

The analysis method for optimization of locating seismic reduction device in passive control technique and corresponding mathematic model were presented.Combining with the model characteristics of optimization of seismic reduction device and mathematical principle of main optimization algorithm

genetic optimization algorithm was chosen for damper location optimization analysis.The algorithm was improved to increase optimization efficiency and improve calculating accuracy.Through compiling objective function in Matlab

damper location optimization program of seismic reduction device was established.Two different fitness functions were set up and damper location optimization of one plane frame and one bent were carried out.Results show that the optimization algorithm presented in this paper and corresponding program can realize the location optimization analysis of seismic reduction device effectively and accurately.

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references

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