基于遗传算法的低碳物流运输网络优化研究

Optimization of Low-Carbon Logistics Transportation Network Based on Genetic Algorithm

物流运输网络优化是创建低碳物流体系的重要内容。低碳理念的出现,是为了响应政府低碳线路规划和货主之间的博弈需求。对于顶层物流网络的完善来说,需要遵循碳排放、成本、时间的最少化等条件,优化后的Logit路径则用来对底层货流进行配置,构建基于遗传算法来计算求解的低碳物流运输网络层次优化模型。从案例仿真求解的结果上看,在物流运输网络低碳优化中这一计算模型与理论算法是相对精准和有效的,对低碳物流的发展具有一定的促进作用。

Logistics and transportation network optimization is an important part of building low-carbon logistics system. The emergence of low-carbon concept is to respond to the government’s low-carbon line planning and the game demand between cargo owners. For the improvement of top-level logistics network,it is necessary to follow the conditions of carbon emission,cost,time minimization,etc. The optimized Logit path is used to configure the bottom cargo flow. The hierarchical optimization model of low carbon logistics transportation network is constructed based on genetic algorithm. From the result of the case simulation,the calculation model and theoretical algorithm are relatively accurate and effective in the low carbon optimization of logistics transportation network,which has a certain role in promoting the development of low carbon logistics.