Quantifying the Interdependency Strength Across Critical Infrastructure Systems using a Dynamic Network Flow Redistribution Model

2020 ◽  
Author(s):  
Yu Wang ◽  
Jin-Zhu Yu ◽  
Hiba Baroud
Keyword(s):  
Network Flow ◽  
Critical Infrastructure ◽  
Dynamic Network ◽  
Infrastructure Systems ◽  
Dynamic Network Flow ◽  
Critical Infrastructure Systems

Resilience Estimation of Critical Infrastructure Systems: Application of Expert judgment

2021 ◽  
pp. 107849
Author(s):  
Adel Mottahedi ◽  
Farhang Sereshki ◽  
Mohamad Ataei ◽  
Ali Nouri Qarahasanlou ◽  
Abbas Barabadi
Keyword(s):  
Critical Infrastructure ◽  
Expert Judgment ◽  
Infrastructure Systems ◽  
Critical Infrastructure Systems

Social Resilience and Critical Infrastructure Systems

2017 ◽  
pp. 289-299 ◽  
Author(s):  
Benjamin D. Trump ◽  
Kelsey Poinsatte-Jones ◽  
Meir Elran ◽  
Craig Allen ◽  
Bojan Srdjevic ◽  
...  
Keyword(s):  
Critical Infrastructure ◽  
Social Resilience ◽  
Infrastructure Systems ◽  
Critical Infrastructure Systems

scholarly journals Optimum Flows in Directed Bipartite Dynamic Network. The Static Approach

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Combinatorial Optimization ◽  
Network Flow ◽  
Dynamic Network ◽  
Time Varying ◽  
Flow Models ◽  
Dynamic Network Flow ◽  
Static Approach ◽  
Network Flow Models ◽  
Discrete Values ◽  
Time Expanded Network

The theory of flows is one of the most important parts of Combinatorial Optimization and it has various applications. In this paper we study optimum (maximum or minimum) flows in directed bipartite dynamic network and is an extension of article [9]. In practical situations, it is easy to see many time-varying optimum problems. In these instances, to account properly for the evolution of the underlying system overtime, we need to use dynamic network flow models. When the time is considered as a variable discrete values, these problems can be solved by constructing an equivalent, static time expanded network. This is a static approach.

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