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Stochastic dynamic multi-objective optimization location-routing model and algorithm in post-earthquake
震后随机动态LRP多目标优化模型及算法*

Keywords: post-earthquake emergency logistics,location-routing problem(LRP),multi-transportation mode,improved genetic algorithm
震后应急物流
,定位—运输路线安排问题(LRP),多运输方式,改进遗传算法

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Abstract:

To distribute relief commodities for post-earthquake, developed a stochastic demand multi-objective LRP model with multi-commodities multi-modal transportation to determine the locations of relief distribution centers in the disaster area, as well as the relief vehicle routes in each period during relief process. According to the characteristics of the model, proposed an improved genetic algorithm based on dynamic programming and weighted coefficient transformation, and adopted a punished function method to deal with restriction in model. The results of a numerical example show availability of the proposed model and algorithm, and it can help the emergency management department provide assistant decision-making.

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