关键词: 碳交易, 生鲜电商, 跨区域物流网络及路径规划, 闭环, 遗传算法, 粒子群优化算法

Abstract: In view of the rapid development of China's carbon trading market,the increasing distribution demand of cross-regional e-commerce and the returned demand of fresh food caused by short shelf life and spoilage,a two-stage cross-regional closed-loop logistics network and the vehicle routing optimization model were proposed for fresh food e-commerce under the environment of carbon trading.Through the case of the fresh food e-commerce of Suzhou,the validity of the proposed model was verified by adopting Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm.Furthermore,a good reference could be provided for building the cross-regional forward and reverse logistics network for e-commerce as well as minimizing the operation costs of system under the carbon trading environment through this research.

Key words: carbon trading, fresh food e-commerce, cross-regional logistics network and route planning, closed-loop, genetic algorithms, particle swarm optimization