• DocumentCode
    527641
  • Title

    Research and application of solution of Vehicle Routing Problem based on GIS

  • Author

    Sun, Jian ; Zhai, Shikui ; Wang, Shuying

  • Author_Institution
    Key Lab. of Submarine Geosci. & Prospecting Tech., Ocean Univ. of China, Qingdao, China
  • Volume
    5
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2451
  • Lastpage
    2454
  • Abstract
    Vehicle Routing Problem (VRP) is not only a key in the logistics delivery, but also a Nondeterministic Polynomial Problem (NP Problem). This paper gives a new vehicle routing optimization model with two phases for Capacitated VRP. Firstly, by GIS route optimization and saving algorithm, we achieve automated intelligent logistics delivery. Secondly, distribution route was greatly Optimization by using genetic algorithm. At the same time, using GIS technology, people can quickly adjust the scheduling result, this gets quite well result in the practical application.
  • Keywords
    genetic algorithms; geographic information systems; goods distribution; logistics; scheduling; traffic information systems; GIS; GIS technology; automated intelligent logistics delivery; distribution route; genetic algorithm; nondeterministic polynomial problem; scheduling; vehicle routing optimization model; vehicle routing problem; Geographic Information Systems; Heuristic algorithms; Loading; Logistics; Optimization; Routing; Vehicles; GIS; Genetic Algorithm; Logistics Delivery; VRP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583495
  • Filename
    5583495