蚁群算法与物流车辆路径优化研究中英文外文文献翻译.doc

本科毕业设计（论文） 中英文对照翻译 (此文档为word格式,下载后您可任意修改编辑!) 文献出处: Rizzoli E. The research of Ant colony algorithm with logistics vehicle routing optimization [J]. Swarm Intelligence, 2016, 2(5): 31-43. 原文 The research of Ant colony algorithm with logistics vehicle routing optimization Rizzoli E Abstract Logistics is gradually by enterprises as obtain and maintain competitive advantage in the market of the powerful management, caused the domestic and foreign scholars and enterprises of great importance to it. Current generally accepted definition of "logistics" is put forward by the American warehouse and purchasing association: "the so-called logistics is to meet customer demand for the purpose, in order to improve the raw material, and related production, from the supply to the consumption of the flow and storage of efficiency and effectiveness, and carries on the plan, execution (implementation) and control the process of. Modern Logistics (Logistics), it is to point to in order to achieve customer satisfaction, to connect the subjects of supply and demand, overcoming space and time obstacles of effective and efficient flow of goods, services, economic activity process, is based on the modern information technology, integration of transportation, packing, loading and unloading, handling, storage, distribution processing, distribution, recycling and processing and Logistics information processing and other functions to form a pattern of integrated Logistics activities. Distribution vehicle routing optimization is a key part of the logistics system optimization. Optimize the distribution vehicle route, can improve the economic benefit and realize the logistics rationalization. Distribution vehicle route optimization theory and method of the logistics system research is intensive development, build a comprehensive logistics system, set up a modern scheduling command system, development of intelligent transportation systems and to carry out the foundation of e-commerce. Key words