The Research on the Optimization of Transportation Routing for Fresh Food by Improved Genetic Algorithm

被引：5
|
作者：
Wu, Ying [1 ,2 ]
Meng, Zibo [3 ]
Peng, Min [2 ]
机构：
[1] Hunan Commun Polytech, Changsha, Hunan, Peoples R China
[2] Changsha Univ Sci & Technol, Changsha, Hunan, Peoples R China
[3] Changsha Environm Protect Coll, Changsha, Hunan, Peoples R China
来源：
SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4 | 2012年 / 178-181卷
关键词：
Fresh food; Improved Genetic Algorithm; Customer satisfaction; Time window;
D O I：
10.4028/www.scientific.net/AMM.178-181.1790
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In this paper, we research the problem of transportation routing for fresh food. We analyzed the limit of soft and hard time windows in transportation and formed the time window with fuzzy appointment based on customer satisfaction. The optimization of transportation routes mathematical model was structured. The improved genetic algorithm has been applied to matlab progam. This progam has found the optimal solution in the model. We used a case to prove the feasibility of the model and the algorithm. It has twelve customers and one DC need to transport services. The mathematical model is to simulate the transport of fresh food within realistic.The transportation routing is designed to improve customer satisfaction and reduce transportation costs.
引用
收藏
页码：1790 / +
页数：2
相关论文
共 50 条
  • [41] An improved genetic algorithm for QOS multicast routing
    Fan Yiming
    Yu Jianjun
    Fang Zhimin
    PROCEEDINGS OF 2007 INTERNATIONAL WORKSHOP ON SIGNAL DESIGN AND ITS APPLICATIONS IN COMMUNICATIONS, 2007, : 133 - +
  • [42] An improved genetic algorithm for the vehicle routing problem
    Yang Honglin
    Yuan Jijun
    PROCEEDING OF THE 2006 INTERNATIONAL CONFERENCE ON MANAGEMENT OF LOGISTICS AND SUPPLY CHAIN, 2006, : 418 - 423
  • [43] An Improved Genetic Algorithm for Routing of Logistics Vehicles
    Wang, Xue-yuan
    4TH INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT (ICEM), 2017, : 455 - 459
  • [44] Erratum to: Application on Cold Chain Logistics Routing Optimization Based on Improved Genetic Algorithm
    Yang Liyi Zhang
    Yunshan Gao
    Teng Sun
    Yujing Fei
    Automatic Control and Computer Sciences, 2019, 53 : 572 - 572
  • [45] Research on Routing Selection Algorithm Based on Genetic Algorithm
    Gao, Guohong
    Zhang, Baojian
    Li, Xueyong
    Lv, Jinna
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II, 2011, 135 : 353 - 358
  • [46] Research on Anycast Routing Algorithm Based on Genetic Algorithm
    Chun, Zhu
    Min, Jin
    CISST'09: PROCEEDINGS OF THE 3RD WSEAS INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, SIGNAL AND TELECOMMUNICATIONS, 2009, : 135 - 139
  • [47] Research on rapid process optimization technology based on Improved Genetic Algorithm
    Yu, Hang
    Miao, Liqin
    Jiang, Jichun
    Jiang, Heping
    Cui, Wanrui
    Meng, Fanjun
    Wang, Lijun
    Li, Yuxin
    Gao, Xiaojiao
    Fan, Yue
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING, 2015, 27 : 740 - 746
  • [48] Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm
    Li, Jinghua
    Huang, Wenhao
    Yang, Boxin
    Zhou, Qinghua
    INTERNATIONAL CONFERENCE ON MECHANICAL DESIGN AND SIMULATION (MDS 2022), 2022, 12261
  • [49] Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm
    Yuan, Feihui
    Li, Jinghua
    Zhou, Qinghua
    He, Ming
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [50] Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm
    Yuan, Feihui
    Li, Jinghua
    Zhou, Qinghua
    He, Ming
    Wireless Communications and Mobile Computing, 2022, 2022
12345