欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
以配送费用最小为目标，在考虑客户服务优先级、车辆装载率、危险物资不能混装等约束条件下，构建了单车场多仓库多趟配送车辆路径问题模型，并用改进的遗传算法进行求解，将郑州煤电物资供销有限公司的物资配送作为案例进行研究，从配送费用、配送里程、使用车辆数、车辆装载率、车辆最晚返回时间和保证服务优先级等指标评价改进的遗传算法的优化性能，结果表明了算法的有效性。
英文摘要：
Aiming at minimizing the distribution cost, considering the constraints on the service priority of consumers, the load rate of vehicles and the immiscible packing of dangerous materials, we build a multi- trip distribution model of single-depot and multi-warehouse. An improved genetic algorithm is designed to solve the model. Then, using the distribution of dangerous materials for Zhengzhou Coal Mine and Power Supply Co., Ltd. as an example, we evaluate the proposed algorithm based on indices including the distribution cost, the traveling distance, the number of used vehicle, the load rate of the vehicles, the return time of the vehicles and the guarantee of service priority. The results show the efficiency and effectiveness of the proposed algorithm.
同期刊论文项目
同项目期刊论文
Simulation on time-of-use pricing policy in China urban natural gas pipeline network based on multi-
An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic
A hybrid coding SA method for multi-item capacity-constrained production and delivery scheduling pro
Application of Hybrid GA-SA Heuristics for Single-job Production-delivery Scheduling Problem with In
Using Multi-Agent Method for Application of TOU Pricing Policy in China Urban Natural Gas Pipeline N
Comparative study on economic contribution rate of education of China and foreign countries based on
期刊信息
位置：