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

机译:具有有限容量下沉的疏散模拟:一种解决多智能经纪疏散模拟中的避难所分配和容量分配问题的进化方法

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摘要

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.
机译:我们启发性地解决了有限的容量庇护所的疏散问题。为组合的路线和避难所分配问题开发了一种进化学习算法。它与公平最小化庇护能力最小化的启发式方法。调查了不同的行为假设“公平”与“全球最佳”)进行了调查。在真实的海啸疏散问题的背景下讨论了拟议的方法。

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