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The optimization analysis of urban disaster hedge places based on multi-objective programming

机译:基于多目标规划的城市避险场所优化分析

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For establishing the city post-disaster emergency rescue shelter mechanism, the multi-objective programming is namely adopted for stationing and the emergency rescue shelter venues are prepared to arrange for fleeing victims. The present status and the progress of the traditional risk study are summarized, and then the multi-objective programming of distribution is used to in order to analysis the urban shelter optimally. The multi-objective approach is introduced to study the problems of the escape of evacuation stadium disaster, and then a multi-objective programming model is changed into an integer programming model to complete the stationing issues of post-disaster hedge places. The post-disaster hedge places entity optimization model is established by legitimately using multi-objective programming method, and the four targets, minimization shelter points for escaping, the minimization cost of investment, the maximization numbers of escape refugees and the fastest rate of escaping (the shortest time for arriving at escaping asylum points), are selected out to makes the distribution achieve the desired goals. And then an example is investigated to verify the feasibility of this method.
机译:为了建立城市灾后应急救援避难所机制,即采用多目标规划驻扎,并准备好应急救援避难所场地,以安排逃生受害者。总结了传统风险研究的现状和进展,然后运用多目标分布规划对城市住房进行了优化分析。引入多目标方法研究逃生体育场灾区逃生问题,然后将多目标规划模型转换为整数规划模型,以完成灾后对冲场所的驻扎问题。通过合法地使用多目标规划方法建立灾后对冲场所实体优化模型,并实现四个目标,即最小化逃生避难所,最小化投资成本,最大逃生难民人数和最快逃脱率(选择到达避难所的最短时间),以使分配达到期望的目标。然后通过实例验证了该方法的可行性。

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