Evacuation simulation with limited capacity sinks

We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learning algorithm 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.


Presented at:
International Conference on Evolutionary Computation, Valencia, Spain, October 24 - 26
Year:
2010
Laboratories:




 Record created 2010-09-30, last modified 2018-03-17

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