首页 | 本学科首页   官方微博 | 高级检索  
     

微粒群算法原理及改进算法在土木工程中应用
引用本文:唐俊. 微粒群算法原理及改进算法在土木工程中应用[J]. 计算机与数字工程, 2009, 37(10): 153-156
作者姓名:唐俊
作者单位:同济大学软件学院,上海,200092;湖南城建职业技术学院信息工程系,湘潭,411101
摘    要:微粒群算法(Particle swarm optimization,PSO)模拟鸟群捕食的过程,用于寻找空间中的最优解。对PSO算法的基本原理进行了介绍,对一些改进的PSO算法进行了总结,阐述了PSO算法在土木工程结构损伤检测中的应用。

关 键 词:粒子群算法  微粒群算法  优化  结构损伤检测

Principle of Particle Swarm Optimization Algorithm and Applications in Civil Engineering
Tang Jun. Principle of Particle Swarm Optimization Algorithm and Applications in Civil Engineering[J]. Computer and Digital Engineering, 2009, 37(10): 153-156
Authors:Tang Jun
Affiliation:Tang Jun (The School of Software Engineering, Tongji University , Shanghai 200092;Department of Information Engineering, Hunan Urban Construction College, Xiangtan
Abstract:Particle Swarm Optimization(PSO) simulated the process of predator birds to find the optimal solution space.On the basic principle of PSO algorithm was introduced.Some of the improved PSO algorithm has been introduced.The PSO algorithm for structural damage detection in civil engineering applications has been elaborated in detail.
Keywords:PSO  particle swarm optimization  optimization  structural damage detection
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号