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• W2913360404 abstract "Forest fires are serious disasters that endanger the safety and property of residents. To deal with the arson-caused forest fires, we use security game theory to generate optimal patrol strategy under limited patrolling resources. The existing security game algorithms focus on a single behavior model to prevent attacks, while our work is to incorporate the secondary damage caused by the attack behavior into the optimization object. For forest fires, the security game algorithm only expects to catch arsonists in the forest, which is unreasonable in our opinion. Our algorithm incorporates the spread of fires into patrolling path planning so that defenders avoid being swallowed by fire via capturing the spread of it." @default.
• W2913360404 created "2019-02-21" @default.
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• W2913360404 date "2018-11-01" @default.
• W2913360404 modified "2023-09-23" @default.
• W2913360404 title "Efficient Deployment of Patrols to Catch Arsonists" @default.
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• W2913360404 doi "https://doi.org/10.1109/cac.2018.8623696" @default.
• W2913360404 hasPublicationYear "2018" @default.
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