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Evacuation simulation with limited capacity sinks
Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
2010 (English)In: Proceedings of the International Conference on Evolutionary Computation, Valencia, Spain, 2010, 249-254 p.Conference paper, Published paper (Refereed)
Abstract [en]

We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learning al gorithm is developed for the combined route- and shelter-assignment problem. It is complemented with a heuristic method for the fair minimization of shelter capacities. Different behavioral assumptions "fair" vs. "globally optimal") are investigated. The proposed approaches are discussed in the context of a real-world tsunami evacuation problem.

Place, publisher, year, edition, pages
Valencia, Spain, 2010. 249-254 p.
Keyword [en]
Evacuation, Iterative learning, Multi-agent simulation, Nash equilibrium, Shelter allocation, Shelter capacity assignment, System op timum
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-76833ISBN: 9789898425317 (print)OAI: oai:DiVA.org:kth-76833DiVA: diva2:491206
Conference
International Conference on Evolutionary Computation, ICEC 2010; Valencia; 24 October 2010 through 26 October 2010
Note
TSC import 992 2012-02-06 QC 20120208Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2012-02-08Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Output format
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