目的 在降低配送成本的同时，保证生鲜配送的顾客满意度。方法 综合考虑运输距离、配送时间窗约束、生鲜变质等因素，以运输成本、制冷成本、车辆调用成本、配送中心开放和闲置成本及自提点对配送时间和生鲜品质的满意度为目标函数，建立双目标生鲜配送路径优化模型。结果 利用非支配排序遗传算法求得了不同需求情况下的生鲜配送方案。结论 在不同的需求状况下，合理选择开放配送中心能够在保证一定顾客满意度的情况下，有效降低了配送成本。

The work aims to ensure the customer satisfaction of fresh delivery while reducing the distribution costs. Based on the comprehensive consideration of such factors as transportation distance, distribution time window constraints and deterioration of fresh food, with transportation costs, refrigeration costs, vehicle call costs, distribution center opening and idle costs, and the satisfaction of self pick-up site in terms of distribution time and fresh quality as functions, a dual-objective fresh delivery route optimization model was established. The non-dominated sorting genetic algorithm was used to obtain the fresh delivery plan under different demand conditions. Under different demand conditions, reasonable selection of open distribution centers can effectively reduce distribution costs while ensuring certain customer satisfaction.