改进蚁群算法在低碳冷链物流路径优化中的应用

Application of Improved Ant Colony Algorithm in Low-carbon Cold Chain Logistics Routing Optimization

根据冷链物流配送基础理论,将碳排放成本融入路径优化问题中,建立以总成本最小为优化目标的冷链物流路径优化数学模型。在传统蚁群算法的基础上,对初始信息素浓度、信息素更新策略及转移规则进行改进,并通过对比参数不同取值下的结果来确定合理参数。以某冷链物流企业为例,通过MATLAB软件进行仿真实验,验证模型和算法的有效性。

In this paper,according to the basic theory of cold chain logistics distribution,we integrated the carbon emission cost into the routing optimization problem,and built a mathematical model of cold chain logistics path optimization with the goal of minimizing the total cost.On the basis of the traditional ant colony algorithm,we modified the initial pheromone concentration,the pheromone update strategy and the pheromone transfer rule,and through comparison decided on the reasonable value of the parameters.At the end,taking a cold chain logistics company as an example,we conducted a simulation experiment through MATLAB to verify the effectiveness of the model and the algorithm.