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Zone-based, robust flood evacuation planning

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Zone-based, robust flood evacuation planning. / Büttner, Sabine; Goerigk, Marc.

2016.

Research output: Working paper

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@techreport{d44eab3779d043b7a468da59409b2b63,
title = "Zone-based, robust flood evacuation planning",
abstract = "We consider the problem to evacuate several regions due to river flooding, where suffi-cient time is given to plan ahead. To ensure a smooth evacuation procedure, our modelincludes the decision which regions to assign to which shelter, and when evacuationorders should be issued, such that roads do not become congested.Due to uncertainty in weather forecast, several possible scenarios are simultaneouslyconsidered in a robust optimization framework. To solve the resulting integerprogram, we apply a Tabu search algorithm based on decomposing the problem intobetter tractable subproblems. Computational experiments on random instances and aninstance based on Kulmbach, Germany, data show considerable improvement comparedto an MIP solver provided with a strong starting solution",
keywords = "Evacuation Planning, Flood Evacuation, Robust Optimization",
author = "Sabine B{\"u}ttner and Marc Goerigk",
year = "2016",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Zone-based, robust flood evacuation planning

AU - Büttner, Sabine

AU - Goerigk, Marc

PY - 2016

Y1 - 2016

N2 - We consider the problem to evacuate several regions due to river flooding, where suffi-cient time is given to plan ahead. To ensure a smooth evacuation procedure, our modelincludes the decision which regions to assign to which shelter, and when evacuationorders should be issued, such that roads do not become congested.Due to uncertainty in weather forecast, several possible scenarios are simultaneouslyconsidered in a robust optimization framework. To solve the resulting integerprogram, we apply a Tabu search algorithm based on decomposing the problem intobetter tractable subproblems. Computational experiments on random instances and aninstance based on Kulmbach, Germany, data show considerable improvement comparedto an MIP solver provided with a strong starting solution

AB - We consider the problem to evacuate several regions due to river flooding, where suffi-cient time is given to plan ahead. To ensure a smooth evacuation procedure, our modelincludes the decision which regions to assign to which shelter, and when evacuationorders should be issued, such that roads do not become congested.Due to uncertainty in weather forecast, several possible scenarios are simultaneouslyconsidered in a robust optimization framework. To solve the resulting integerprogram, we apply a Tabu search algorithm based on decomposing the problem intobetter tractable subproblems. Computational experiments on random instances and aninstance based on Kulmbach, Germany, data show considerable improvement comparedto an MIP solver provided with a strong starting solution

KW - Evacuation Planning

KW - Flood Evacuation

KW - Robust Optimization

M3 - Working paper

BT - Zone-based, robust flood evacuation planning

ER -