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A comprehensive evacuation planning model and genetic solution algorithm

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>11/2014
<mark>Journal</mark>Transportation Research Part E: Logistics and Transportation Review
Number of pages16
Pages (from-to)82-97
Publication StatusPublished
Early online date30/09/14
<mark>Original language</mark>English


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.