摘要
针对海上应急物资运输的特点,综合考虑物联网技术优势与海上应急物资运输的要求,引入模糊时间窗函数,结合最优适应度函数等主要约束条件,构建以配送距离最短、花费时间最少、配送成本最低、客户满意度最大的物联网的海上应急物资运输路径优化模型,在Matlab 2017a平台上进行仿真。结果表明,改进后的遗传算法能够找到最优配送路径,达到了智能化海上应急物资运输配送的要求。
In view of the characteristics of maritime emergency material transportation,considering the technical advantages of the Internet of Things and the requirements of maritime emergency material transportation,this paper introduces the fuzzy time window function and combines the main constraints such as the optimal fitness function to construct the transportation route optimization of maritime emergency materials based on the Internet of Things with the shortest distribution distance,the least time spent,the lowest distribution cost and the greatest customer satisfaction.The model is simulated on Matlab 2017 A platform.The results show that the improved genetic algorithm can find the optimal distribution path and meet the requirements of intelligent maritime emergency material transportation and distribution.
作者
栾志玲
LUAN Zhi-ling(Yantai Vocational College,Yantai 264000,China)
出处
《舰船科学技术》
北大核心
2019年第14期202-204,共3页
Ship Science and Technology
关键词
应急物资
运输路径
遗传算法
物联网
emergency materials
transportation path
genetic algorithm
internet of things
