Evacuation simulation with limited capacity sinks
2010 (English)In: Proceedings of the International Conference on Evolutionary Computation, Valencia, Spain, 2010, 249-254 p.Conference paper (Refereed)
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.
Evacuation, Iterative learning, Multi-agent simulation, Nash equilibrium, Shelter allocation, Shelter capacity assignment, System op timum
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-76833ISBN: 9789898425317OAI: oai:DiVA.org:kth-76833DiVA: diva2:491206
International Conference on Evolutionary Computation, ICEC 2010; Valencia; 24 October 2010 through 26 October 2010
TSC import 992 2012-02-06 QC 201202082012-02-062012-02-062012-02-08Bibliographically approved