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A comprehensive evacuation planning model and genetic solution algorithm

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  • Goerigk, Marc
  • Deghdak, Kaouthar
  • Heßler, Philipp

Abstract

We consider the problem of evacuating an urban area. Several planning aspects need to be considered in such a scenario, which are usually considered separately. We propose a macroscopic multi-criteria optimization model that includes several such questions simultaneously, and develop a genetic algorithm to solve the problem heuristically. Its applicability is extended by also considering how to aggregate instance data, and how to generate solutions for the original instance starting from a reduced solution. In computational experiments using real-world data, we demonstrate the effectiveness of our approach and compare different levels of data aggregation.

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  • Goerigk, Marc & Deghdak, Kaouthar & Heßler, Philipp, 2014. "A comprehensive evacuation planning model and genetic solution algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 82-97.
    • Handle: RePEc:eee:transe:v:71:y:2014:i:c:p:82-97
    DOI: 10.1016/j.tre.2014.08.007
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