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基于粒子群算法的不确定性结构区间分析
引用本文:谭斌,王泽兴,李佳,林秋远.基于粒子群算法的不确定性结构区间分析[J].黄石理工学院学报,2012,28(3):32-37.
作者姓名:谭斌  王泽兴  李佳  林秋远
作者单位:1. 中国市政工程中南设计研究总院,湖北武汉,430010
2. 奥雅纳工程咨询(上海)有限公司,上海200031;同济大学结构工程与防灾研究所,上海200092
3. 珠海市金湾区政府投资建设工程管理中心,广东珠海,519090
4. 同济大学浙江学院,浙江嘉兴,314000
摘    要:结构工程中存在着大量不确定性因素,区间分析方法是计算不确定性结构的最有效方法。但是区间计算的精度偏低使得该方法在实际工程中还很难广泛应用。将PSO算法引入不确定性结构区间分析,将区间计算问题转化为全局优化问题。实例表明,PSO算法的结果明显优于其他现有各种计算方法。

关 键 词:不确定性  区间分析  粒子群算法

Interval Analysis of Uncertain Structure Based on Particle Swarm Optimization
TAN Bin , WANG Zexing , LI Jia , LIN Qiuyuan.Interval Analysis of Uncertain Structure Based on Particle Swarm Optimization[J].Journal of Huangshi Institute of Technology,2012,28(3):32-37.
Authors:TAN Bin  WANG Zexing  LI Jia  LIN Qiuyuan
Institution:1 Central and Southern China Municipal Engineering Design & Research Institute Co.,Ltd,Wuhan Hubei 430010;2 ARUP,Shanghai 200031;3 Research Institute of Structural Engineering and Disaster Reduction, Tongji University,Shanghai 200092;4 Investigation and development project management center of Jinwan District,Zhuhai Guangdong 519090;5 Zhejiang College,Tongji university,Jiaxing Zhejiang 314000)
Abstract:Uncertainties widely exist in structural engineering.Interval analysis is the most effective method to calculate uncertain structure.However,interval analysis could not be applied widely in practical engineering because of low precision.Particle swarm optimization(PSO) is proposed to deal with interval analysis of uncertain structure in this paper to replace interval arithmetic by global optimization.It is shown that PSO has the more precise results than other interval arithmetic.
Keywords:uncertainties  interval analysis  PSO
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