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arxiv: 1207.6514 · v1 · pith:NPDRQUT4new · submitted 2012-07-27 · 💻 cs.AI

Earthquake Scenario Reduction by Symmetry Reasoning

classification 💻 cs.AI
keywords networklinksscenariosearthquakenumberproblemreasoningsampling
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A recently identified problem is that of finding an optimal investment plan for a transportation network, given that a disaster such as an earthquake may destroy links in the network. The aim is to strengthen key links to preserve the expected network connectivity. A network based on the Istanbul highway system has thirty links and therefore a billion scenarios, but it has been estimated that sampling a million scenarios gives reasonable accuracy. In this paper we use symmetry reasoning to reduce the number of scenarios to a much smaller number, making sampling unnecessary. This result can be used to facilitate metaheuristic and exact approaches to the problem.

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