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We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learning algorithm is developed for the combined routeand 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.

EVACUATION SIMULATION WITH LIMITED CAPACITY SINKS - An Evolutionary Approach to Solve the Shelter Allocation and Capacity Assignment Problem in a Multi-agent Evacuation Simulation