摘要
在海鲜水产品销售过程中,运输是重要的环节,运输路线的选择与设计直接影响到水产品的运输效率和销售成本。文中通过对沧州水产市场的实际调查,通过构建数学模型,以成本最小化为目标,运用遗传算法进行求解。在车辆数、运输里程、货损成本和运输成本等方面获得了优化效果。
In the marketing process of seafood and aquatic products,transportation is an important link.The choice and design of transportation route directly affects the transportation efficiency and marketing cost of aquatic products.Based on the investigation of the aquatic products market in Cangzhou,this paper constructs a mathematical model to minimize the cost and uses genetic algorithm to solve the problem.The optimization results are obtained in vehicle number,transportation mileage,cargo damage cost and transportation cost.
作者
德新玲
李萍
杜学敏
赵倩儒
李猛杰
DE Xin-ling;LI Ping;DU Xue-min;ZHAO Qian-ru;LI Meng-jie(School of Economics and Management,Beijing Jiaotong University Haibin College,Huanghua 061100,China)
出处
《物流工程与管理》
2021年第1期76-77,70,共3页
Logistics Engineering and Management
基金
沧州市科技计划项目(183000004)
沧州市科技计划项目(183000002)
沧州市社会科学发展研究课题(2020162)
北京交通大学海滨学院教改项目(HB202002006)。
关键词
水产品
运输路径优化
遗传算法
aquatic products
transportation path optimization
genetic algorithm