• DocumentCode
    527636
  • Title

    Solving logistics transportation based on improved genetic algorithm

  • Author

    Ma, Zhongli ; Liu, Fenglian

  • Author_Institution
    Coll. of Sicence, Tianjin Univ. of Technol., Tianjin, China
  • Volume
    5
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2476
  • Lastpage
    2480
  • Abstract
    Be dead against limitation of the traditional genetic algorithm, bring up the method based on elements of immune system and adaptation of the genetic operator, that is immune genetic algorithm, it can prevent premature convergence, assure the diversity of the colony, when using the algorithm to look for the optimization solution, obtain to prevent to search the optimization solution in local situation. Using the algorithm to solve the logistics transportation, proof the algorithm has been improved.
  • Keywords
    genetic algorithms; logistics; transportation; genetic operator; immune system; improved genetic algorithm; logistics transportation; optimization solution; Cities and towns; Genetics; Immune system; Logistics; Rail transportation; Road transportation; affinity; density; immune genetic algorithm; selfadaptation;
  • 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.2010.5583483
  • Filename
    5583483
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=527636