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• W2740807839 abstract "Network reliability is an important performance index for many real-life systems, such as electric power systems, computer systems and transportation systems. These systems can be modelled as stochastic-flow networks (SFNs) composed of arcs and nodes. Most system supervisors respect the network reliability maximization by finding the optimal multi-state resource assignment, which is one resource to each arc. However, a disaster may cause correlated failures for the assigned resources, affecting the network reliability. This article focuses on determining the optimal resource assignment with maximal network reliability for SFNs. To solve the problem, this study proposes a hybrid algorithm integrating the genetic algorithm and tabu search to determine the optimal assignment, called the hybrid GA-TS algorithm (HGTA), and integrates minimal paths, recursive sum of disjoint products and the correlated binomial distribution to calculate network reliability. Several practical numerical experiments are ad..." @default.
• W2740807839 created "2017-08-08" @default.
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• W2740807839 date "2017-07-28" @default.
• W2740807839 modified "2023-09-24" @default.
• W2740807839 title "Network reliability maximization for stochastic-flow network subject to correlated failures using genetic algorithm and tabu search" @default.
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• W2740807839 doi "https://doi.org/10.1080/0305215x.2017.1353089" @default.
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