• DocumentCode
    253475
  • Title

    Solving container loading problem with simulated annealing algorithm

  • Author

    Can, Okan ; Sahingoz, Ozgur Koray

  • Author_Institution
    Comput. Eng. Dept., Turkish Air Force Acad., Istanbul, Turkey
  • fYear
    2014
  • fDate
    19-21 Nov. 2014
  • Firstpage
    379
  • Lastpage
    383
  • Abstract
    In the economic world, transportation is very important and decreasing transportation cost is a challenging issue. To decrease this cost, increasing the efficiency of loading containers is very important, and this problem mainly named as Container Loading Problem(CLP). There are many researches about CLP with different type of approaches. In the literature, solutions are generally lined up as Heuristic and Meta-Heuristic approaches. Simulated annealing (SA) algorithm is a meta-heuristic approach. The most important advantage of SA is avoiding from local optimums. In this paper, a single CLP is solved by using simulated annealing algorithm. Proposed system algorithm and experimental results are presented. These results showed that SA is an acceptable solution approach for CLP type problems.
  • Keywords
    goods distribution; loading; simulated annealing; transportation; CLP; SA algorithm; container loading problem; metaheuristic approach; simulated annealing algorithm; transportation cost; Containers; Heuristic algorithms; Loading; Organizations; Simulated annealing; Stability analysis; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/CINTI.2014.7028705
  • Filename
    7028705