Abstract

In this article, in order to optimize emergency logistics system for post-earthquake, a stochastic dynamic LRP model on relief distribution centers was developed by considering dynamic characteristics of emergency logistics networks in post-earthquake. According to the characteristics of the model, the paper proposes an improved genetic algorithm based on dynamic programming. The authors adopt a special real-valued coding scheme and a punished function method to deal with restriction in the model. The results of a numerical example show that the proposed model and algorithm can resolve relief distribution centers location-allocation and vehicle routing problem in post-earthquake emergency logistics systems efficiently, and it can help the government agencies provide assistance in decision-making.

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