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

机译:改进的PSO算法及其在结构疲劳寿命优化中的应用

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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.
机译:粒子群算法是一种新型的智能优化算法。为了提高结构疲劳优化的效率,提出了一种基于改进的粒子群算法的优化策略。根据该策略,开发了一种优化软件。作为该策略的应用,提出了起落架的疲劳优化。结果表明,优化结果优于传统优化方法。这种改进的算法效率高,效果更好,对结构疲劳寿命的优化具有良好的前景。

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