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A heuristic survival signature based approach for reliability-redundancy allocation

机译：基于启发式生存签名的可靠性-冗余分配方法

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In recent research, the major focus on reliability-redundancy allocation problems has been on the possibility of using more efficient and effective algorithms to improve convergence speed and solution accuracy of the optimization model. But the model of reliability-redundancy allocation itself has not been investigated further. In this paper, we try to simplify the optimization model of the reliability-redundancy allocation problem by using the theory of survival signature. To achieve this, the information of the structure of a system is summarized by the survival signature. The reliability-redundancy allocation problem is formulated as an optimization problem with the objective of maximizing system reliability under some constraints. A new adaptive penalty function is proposed to transfer the constraint optimization problem to an unconstraint one. Then a heuristic algorithm called stochastic fractal search is applied to solve the unconstraint optimization. Moreover, the (joint) structure importance is used to measure the relative importance of components to concretely allocate the redundancy level of each component. The proposed method only needs to calculate the survival signature once, reduces the dimension of the optimization problem and provides insight into system reliability-redundancy allocation.
机译：在最近的研究中，对可靠性-冗余分配问题的关注主要集中在使用更有效的算法来提高优化模型的收敛速度和求解精度的可能性上。但是可靠性-冗余分配模型本身还没有进一步研究。在本文中，我们尝试使用生存签名理论简化可靠性-冗余分配问题的优化模型。为了实现这一点，通过生存签名来总结系统结构的信息。可靠性-冗余分配问题被表述为一个优化问题，目的是在某些约束下最大化系统可靠性。提出了一种新的自适应惩罚函数，将约束优化问题转化为无约束问题。然后，采用一种称为随机分形搜索的启发式算法来求解无约束优化问题。此外，（联合）结构重要性用于度量组件的相对重要性，以具体分配每个组件的冗余级别。所提出的方法只需要计算一次生存签名，减小了优化问题的范围，并提供了系统可靠性-冗余分配的见解。

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