Robust optimization on redundancy allocation problems in multi-state and continuous-state series–parallel systems

In this paper, we consider the redundancy allocation problem (RAP) with uncertainties in component parameters for multi-state series–parallel system (MSSPS) and continuous-state series–parallel system (CSSPS). In real-world cases, the component parameters such as costs and reliabilities are often un...

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Vydané v:	Reliability engineering & system safety Ročník 218; s. 108134
Hlavní autori:	Zhang, Hanxiao, Li, Yan-Fu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Barking Elsevier Ltd 01.02.2022 Elsevier BV
Predmet:	Ambiguity Continuous-state series–parallel system Distributionally robust optimization Epistemology Integer programming Linear programming Materials handling Mixed integer Multi-state series–parallel system Optimization Parameter robustness Parameter uncertainty Probability distribution Redundancy Redundancy allocation problem Reliability engineering Risk aversion Robust optimization Robustness (mathematics) Stochastic models Stochastic programming Uncertainty Redundancy allocation problem Continuous-state series–parallel system Multi-state series–parallel system Uncertainty Robust optimization Distributionally robust optimization
ISSN:	0951-8320, 1879-0836
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