A comprehensive evacuation planning model and genetic solution algorithm

Goerigk, Marc and Deghdak, Kaouthar and Heßler, Philipp (2014) A comprehensive evacuation planning model and genetic solution algorithm. Transportation Research Part E: Logistics and Transportation Review, 71. pp. 82-97. ISSN 1366-5545

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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.

Item Type:
Journal Article
Journal or Publication Title:
Transportation Research Part E: Logistics and Transportation Review
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3300/3313
Subjects:
ID Code:
76540
Deposited By:
Deposited On:
11 Nov 2015 13:52
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Sep 2020 02:25