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A hybridised variable neighbourhood tabu search heuristic to increase security in a utility network

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  • Janssens, Jochen
  • Talarico, Luca
  • Sörensen, Kenneth

Abstract

We propose a decision model aimed at increasing security in a utility network (e.g., electricity, gas, water or communication network). The network is modelled as a graph, the edges of which are unreliable. We assume that all edges (e.g., pipes, cables) have a certain, not necessarily equal, probability of failure, which can be reduced by selecting edge-specific security strategies. We develop a mathematical programming model and a metaheuristic approach that uses a greedy random adaptive search procedure to find an initial solution and uses tabu search hybridised with iterated local search and a variable neighbourhood descend heuristic to improve this solution. The main goal is to reduce the risk of service failure between an origin and a destination node by selecting the right combination of security measures for each network edge given a limited security budget.

Suggested Citation

  • Janssens, Jochen & Talarico, Luca & Sörensen, Kenneth, 2016. "A hybridised variable neighbourhood tabu search heuristic to increase security in a utility network," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 221-230.
    • Handle: RePEc:eee:reensy:v:145:y:2016:i:c:p:221-230
    DOI: 10.1016/j.ress.2015.08.008
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    References listed on IDEAS

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    1. Reniers, G.L.L. & Sörensen, K. & Dullaert, W., 2012. "A multi-attribute Systemic Risk Index for comparing and prioritizing chemical industrial areas," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 35-42.
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    5. Barker, Kash & Ramirez-Marquez, Jose Emmanuel & Rocco, Claudio M., 2013. "Resilience-based network component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 89-97.
    6. Reniers, G.L.L. & Sörensen, K. & Khan, F. & Amyotte, P., 2014. "Resilience of chemical industrial areas through attenuation-based security," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 94-101.
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