We have merged agent-based modeling, discrete event simulation, and geographical information systems (GIS) intoone seamlessly integrated platform to simulate major disaster events in real time. One advantage of this hybridarchitecture is the ability to assess the impact of agent rules on outcomes in disaster scenarios. A heuristic top-levelframework has been developed to generate evolutionary, near-optimal dispatching decisions for the responders. Themodel considers multiple objectives and can dynamically drive the overall system towards a better performance overtime. Because the users can interact with the simulation platform at a very high level linked to familiar interfacefeatures such as maps, it is accessible to end-users such as incident managers and decision makers with littlesimulation experience.
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