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针对微粒群算法易于陷入局部最优解、早熟的缺点,将Lévy飞行引入微粒速度迭代公式中,并动态改变微粒群速度迭代公式中Lévy飞行的权重值,提出动态Lévy飞行微粒群算法。根据T-S故障树理论,建立液压支架液压系统的可靠性模型,进而得出可靠性费用目标函数。将提出的动态Lévy飞行微粒群算法应用于液压支架液压系统的可靠性优化中,并通过标准微粒群算法、布谷鸟搜索算法和基于Lévy飞行微粒群算法比较,验证所提出算法的优越性。
Aiming at the disadvantage that Particle Swarm Optimization (PSO) is apt to fall into the local optimal solution and precocity, the Lévy flight is introduced into the particle velocity iteration formula and the weight value of Lévy flight in the particle swarm iteration formula is changed dynamically to propose a dynamic Lévy flight particle swarm optimization algorithm. According to T-S fault tree theory, the reliability model of hydraulic system of hydraulic support is established, and the objective function of reliability cost is obtained. The proposed dynamic Lévy flight particle swarm optimization algorithm is applied to the reliability optimization of the hydraulic system of hydraulic support, and the superiority of the proposed algorithm is verified by comparison between the standard particle swarm optimization algorithm, the cuckoo search algorithm and the Lévy flight particle swarm optimization algorithm.