Models and algorithms for natural disaster evacuation problems

We deal here, in the context of a H2020 project, with the design of evacuation plans in face of natural disasters: wildfire, flooding… People and goods have to been transferred from endangered places to safe places. So we schedule evacuee moves along pre-computed paths while respecting arc capacities and deadlines. We model this scheduling problem as a kind of multi-mode Resource Constrained Project Scheduling problem (RCPSP) and handle it through network flow techniques.

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1. Track 1: Artificial Intelligence and Applications

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2. Technical Session: 12th International Workshop on Computational Optimization

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3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).