【摘要】 在考虑传统经济成本的基础上增加考虑配送过程中可能产出的碳排放，并将其以碳排放成本的形式融入到目标函数中，建立考虑碳排放的冷链物流配送模型。通过动态调整启发因子和自适应信息素挥发因子对传统蚁群算法进行优化，提出一种新的改进蚁群算法。通过算例，将考虑碳排放与不考虑碳排放、改进与未改进蚁群算法的情况进行对比。结果表明，该模型和算法具有较好的寻优和收敛能力，可提高冷链物流企业经济效益。更多还原

【Abstract】 The traditional economic cost is taken into consideration as the basis, and in addition, the potential carbon emissions during the distribution process are also taken into account.These carbon emissions are integrated into the objective function as a carbon emission cost, resulting in the establishment of a cold chain logistics distribution model that takes carbon emissions into consideration.Furthermore, An improved ant colony algorithm is proposed by dynamically adjusting heuristic factors and pheromone updating strategies to optimize the traditional ant colony algorithm.Examples are provided to compare the performance of both versions of the ant colony algorithm with and without considering carbon emissions, as well as with and without using the improved version.The results demonstrate that both the model and algorithm exhibit superior optimization and convergence capabilities, thereby offering valuable insights for enhancing economic benefits within cold chain logistics enterprises.更多还原