节点文献
粒子群算法在抗滑桩优化设计中的应用
Particle Swarm Optimization Method and Its Application in Landslide Stabilization Optimum Design
【摘要】 由于目前抗滑桩设计比较保守,存在一定的浪费,故采用粒子群优化算法。以成本为目标函数,建立了抗滑桩的优化设计模型,编制了相应的程序,并进行了工程实例应用。结果表明,优化后的结果与原来使用传统设计方法结果比较,有效地降低了成本,具有较大的经济意义,并且该方法简单快捷、容易实现。
【Abstract】 At present as traditional anti-slide pile design was conservative and wasted money,Particle Swarm Optimization(PSO) method was presented in this paper to optimize anti-slide pile.Final cost acted as object function,and the calculating program was programmed.This method was used in one of case history,its result showed that PSO method reduced costs of anti-slide pile compared with tradition design method,and economic significance was obvious,and this method was simple,quick and easy to run.
【关键词】 粒子群算法;
滑坡;
抗滑桩;
优化;
设计;
【Key words】 particle swarm optimization; landslide; anti-slide pile; optimization; design;
【Key words】 particle swarm optimization; landslide; anti-slide pile; optimization; design;
【基金】 教育部新世纪优秀人才支持计划项目(NECE-04-0723);湖北省青年杰出人才基金(2005ABB022);云南省交通建设科技项目(云交科教[2002]113文,[2004]967文)
- 【文献出处】 武汉理工大学学报 ,Journal of Wuhan University of Technology , 编辑部邮箱 ,2006年12期
- 【分类号】P642.22
- 【被引频次】29
- 【下载频次】312