Abstract:  In view of the uncertainty in the recycling network, the optimization of the express packaging reverse logistics network in a fuzzy environment is studied, and a fuzzy programming model of the express packaging reverse logistics network is established. The model aims to minimize the total cost. The trapezoidal fuzzy number is used to represent the uncertainty of the recycling volume, recovery time and discard rate of the recycling transfer station. Trapezoidal fuzzy number will be calculated by fuzzy chance constrained programming. The collection route planning among various recycling points in the reverse logistics network and the location selection of recycling transfer stations are integrated and optimized. The model uses traditional algorithms and hybrid intelligent algorithms to verify the examples, and analyzes the changes in the confidence parameters that affect the structure of the express packaging recycling network.

Key words: packaging, reverse logistics network, uncertain circumstance, fuzzy programming, hybrid intelligent algorithms