Abstract

The network of Chinese Waterborne Petroleum Logistics (CWPL) is so complex that reasonably disposing and choosing Chinese Waterborne Petroleum Logistics Distribution Center (CWPLDC) take on the important theory value and the practical significance. In the study, the network construct of CWPL distribution is provided and the corresponding mathematical model for locating CWPLDC is established, which is a nonlinear mixed interger model. In view of the nonlinerar programming characteristic of model, the genetic algorithm as the solution strategy is put forward here, the strategies of hybrid coding, constraint elimination , fitness function and genetic operator are given followed the algorithm. The result indicates that this model is effective and reliable. This method could also be applicable for other types of large-scale logistics distribution center optimization.

Keywords:

Distribution center, genetic algorithm, locating, optimization, waterborne petroleum logistics,

References

Competing interests

The authors have no competing interests.

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The authors have no competing interests.