基于遗传算法的低碳物流网络优化研究

Study on Optimization of Low-carbon Logistics Networks Based on Genetic Algorithm

考虑了碳排放成本对物流网络的影响,构建了多个供应商、制造商、配送中心组成的三级物流网络,提出了以物流网络运作成本和碳排放成本最小的混合整数非线性规划模型,设计了遗传算法的求解方法,并进行了数值分析与验证,研究结果表明,合理的碳税征收政策和物流网络的优化运作能够有效降低碳排放量,实现社会的可持续发展。

In this paper, we considered the influence of carbon-emissions cost on the logistics network, established the three-echelon logistics network composed of multiple suppliers, one manufacturer and one distribution center, proposed the hybrid integer nonlinear programming model for the minimization of the operation cost and carbon-emissions cost of the logistics network, designed a genetic algorithm for its solution, and subjected the result to numerical analysis and verification.