Swarm Intelligence Algorithm for Reliability Analysis

摘要：

In some cases, classical methods, such as FORM/SORM methods, RSM and Monte-Carlo methods, can be computationally expensive or inaccurate. The estimation of reliability can be reduced to the solution of an optimization problem in the standardized normal space of the variables. Two methods (particle swarm algorithm and ant colony algorithm) are proposed to solve the global optimization problem, which arises to find the points of maximum likelihood, and the efficiency of the methods compared to classical methods is illustrated with several examples. The results are sufficiently accurate with acceptable computational cost.

关键词： Swarm Intelligence Algorithm Particle Swarm Algorithm Ant Colony Algorithm Reliability

作者: Yugang Li Haigui Kang Huili Lu

作者单位: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology,Dalian, P. R. China 116024

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）