摘要
为了响应国家低碳经济的号召,为了降低物流行业的成本,提高商品配送的质量和效率,该文提出了基于遗传算法的生鲜配送的路径优化模型,并针对具体案例进行了仿真,初始的行驶距离为:210.76km,优化后行驶距离为:80.4964km。该文提出的模型具有较高参考性和可行性,具有实际应用的价值。
In response to the call of low-carbon economy,in order to reduce the cost of logistics industry and improve the quality and ef⁃ficiency of goods distribution,this paper proposes a path optimization model of fresh food distribution Based on genetic algorithm,and simulates the specific case.The initial driving distance is 210.76km,and the optimized driving distance is 80.4964km.The model pro⁃posed in this paper has high reference and feasibility,and has practical application value.Key word:genetic algorithm;fresh delivery;path optimization.
作者
樊倩
熊雷鸣
邵晓根
孔亮
FAN Qian;XIONG Lei-ming;SHAO Xiao-gen;KONG Liang(Xuzhou University of Technology,Xuzhou 221000,China)
出处
《电脑知识与技术》
2020年第1期213-215,共3页
Computer Knowledge and Technology
基金
大学生创新创业训练计划项目(项目编号:xcx2019005)
关键词
遗传算法
生鲜配送
路径优化
genetic algorithm
fresh delivery
path optimization