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An efficient simulation optimization method for the generalized redundancy allocation problem

机译:一种高效的仿真优化方法,用于广义冗余分配问题

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Highlights?A new simulation optimization method called PSORO is developed.?Due to specially-designed mechanisms, PSORO can solve GRAP effectively and efficiently.?PSORO is proved to possess the desirable convergence.?Numerical experiments show that the performance of PSORO is promising.AbstractThe redundancy allocation problem (RAP) is concerned with the allocation of redundancy that maximizes the system reliability subject to constraints on system cost, or minimizes the system cost subject to constraints on the system reliability, has been an active research area in recent decades. In this paper, we consider the generalized redundancy allocation problem (GRAP), which extends traditional RAP to a more realistic situation where the system under consideration has a generalized (typically complex) network structure; for example, the components are connected with ea
机译:<![cdata [ 突出显示 开发了一个新的仿真优化方法,称为psoro。 由于专门设计的机制,PSORO可以有效且有效地解决葡萄。< / ce:para> Psoro被证明具有所需的收敛性。 < CE:PARA id =“para0004”视图=“全部”>数值实验SH Psoro的表现是有前途的。 抽象 < CE:简单 - 段ID =“SPARA0002”查看=“全部”>冗余分配问题(RAP)涉及冗余的分配,最大化系统可靠性受系统成本的约束,或最小化受约束的系统成本在系统可靠性上,近几十年来一直是一个活跃的研究领域。在本文中,我们考虑了广义冗余分配问题(GRAP),它将传统的RAP扩展到更现实的情况,其中所考虑的系统具有广义(通常是复杂的)网络结构;例如,组件与EA连接

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