Title :
An Improved PSO Algorithm and its Application to Structural Fatigue Life Optimization
Author :
Bing, Liu ; Caijun, Xue ; Wei, Tan
Author_Institution :
Key Lab. of Fundamental Sci. for Nat. Defence-Adv. Design Technol. of Flight Vehicle, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
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.
Keywords :
fatigue; gears; particle swarm optimisation; structural engineering; PSO algorithm; landing gear; optimization method; particle swarm optimization; structural fatigue life optimization; Constraint optimization; Design automation; Design optimization; Fatigue; Gears; Intelligent structures; Intelligent vehicles; Optimization methods; Particle swarm optimization; Space technology; Particle swarm optimization; anti-fatigue optimal design; landing Gear;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.229
