A reliability optimization allocation method for multifunctional systems using new hybrid particle swarm optimization

Qihai Liang, Hai-ping Dong, X. Yi, Bin Qin, Xiaoyu Yang
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引用次数: 5

Abstract

A reliability optimization allocation method for multifunctional systems using Hybrid Particle Swarm Optimization (HPSO) is proposed in this paper. First, researchers established a mathematical model for system reliability optimization allocation with the constraints of multi-function failure rates. Then, the HPSO was used to solve the optimization allocation model for multifunctional systems. Finally, researchers used an integrated transmission device with five functions as an example. They allocated reliability indexes of five functions by the method proposed in this paper. The result was compared with the results of basic Particle Swarm Optimization (PSO) and the result of Genetic Algorithm (GA). This comparison showed that the method proposed in this paper has a more powerful search capability, higher solving precision, fewer required parameters, better engineering adaptability and operability, and provides a new method of reliability allocation for complex systems with multiple functions.
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基于混合粒子群算法的多功能系统可靠性优化分配方法
提出了一种基于混合粒子群算法的多功能系统可靠性优化分配方法。首先,建立了以多功能故障率为约束的系统可靠性优化分配数学模型。然后,利用粒子群优化算法求解多功能系统的优化分配模型。最后,研究人员以具有五种功能的集成传输装置为例。采用本文提出的方法对五个函数的可靠性指标进行了分配。结果与基本粒子群算法(PSO)和遗传算法(GA)进行了比较。结果表明,本文提出的方法具有更强的搜索能力、更高的求解精度、所需参数更少、工程适应性和可操作性更好的特点,为多功能复杂系统的可靠性分配提供了一种新的方法。
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