大区域船舶物流最优航线选取模型设计
发布时间:2018-11-25 20:47
【摘要】:针对传统的最优航线选取方法一直存在选取效果差、时间长的问题,提出大区域船舶物流最优航线选取模型。该方法先采用采用粗糙集理论计算权值,通过可信性理论构建大区域船舶物流航线选择期望值及规划模型,并采用上限和下限的方式约束物流配送信息素,计算大区域船舶物流航线配送概率,并以此为基础,通过船舶物流信息筛选,构建大区域船舶物流航线选取模型。实验结果比发现,采用改进最优航线选取模型时,其航线选取时间及航线长度均要优于传统方法,具有一定的优势。
[Abstract]:Aiming at the problems of poor selection effect and long time in traditional optimal route selection method, a model of selecting optimal route for large area ship logistics is proposed. This method first uses rough set theory to calculate the weight value, constructs the expected value and planning model of ship logistics route selection in large area by credibility theory, and uses upper limit and lower limit to constrain logistics delivery pheromone. The probability of shipping logistics route distribution in large area is calculated, and based on this, the model of selecting ship logistics route in large area is constructed through the selection of ship logistics information. The experimental results show that the selection time and length of the improved optimal route selection model are better than that of the traditional method.
【作者单位】: 广州航海学院;
【基金】:2014年广州航海学院创新强校工程建设项目-青年创新人才类项目(2014E072) 2017年广州航海学院创新强校工程建设项目-青年创新人才类项目(2017E27)
【分类号】:U692.31
,
本文编号:2357329
[Abstract]:Aiming at the problems of poor selection effect and long time in traditional optimal route selection method, a model of selecting optimal route for large area ship logistics is proposed. This method first uses rough set theory to calculate the weight value, constructs the expected value and planning model of ship logistics route selection in large area by credibility theory, and uses upper limit and lower limit to constrain logistics delivery pheromone. The probability of shipping logistics route distribution in large area is calculated, and based on this, the model of selecting ship logistics route in large area is constructed through the selection of ship logistics information. The experimental results show that the selection time and length of the improved optimal route selection model are better than that of the traditional method.
【作者单位】: 广州航海学院;
【基金】:2014年广州航海学院创新强校工程建设项目-青年创新人才类项目(2014E072) 2017年广州航海学院创新强校工程建设项目-青年创新人才类项目(2017E27)
【分类号】:U692.31
,
本文编号:2357329
本文链接:https://www.wllwen.com/guanlilunwen/wuliuguanlilunwen/2357329.html