An Improved PSO Algorithm and Its Application to Structural Fatigue Life Optimization

摘要：

Particle swarm optimization is a new type of intelligent optimization algorithm. In order to improve the efficiency of structural fatigue optimization, a novel optimization strategy based on the improved particle swarm optimization algorithm is proposed. According to this strategy, one optimization software is developed. As an application of this strategy, the fatigue optimization of a landing gear is presented. The results show that the optimization results are better than that of traditional optimization method. This improved algorithm with high efficiency and better results has a good promising to the structural fatigue life optimization.

关键词： Particle swarm optimization anti-fatigue optimal design landing Gear

作者: Liu Bing Xue Caijun Tan Wei

作者单位: Key Laboratory of Fundamental Science for National Defence-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics and Astronautics Nanjing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 575-578

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）