• Title of article

    Solving Multi-Objective Distribution Model Using

  • Author/Authors

    Dharmapriya ، U.S.S. - University of Peradeniya , Siyambalapitiya ، S.B. - University of Peradeniya , Kulatunga ، A.K. - University of Peradeniya

  • Pages
    6
  • From page
    60
  • To page
    65
  • Abstract
    Artificial Intelligent (AI) techniques make a great influence on real-world distribution operations due to the complexity and the difficulty of finding an optimal solution within the limited time frame. To bridge the gap between standard problems in distribution and the real world problems, in this research, the standard VRP problem is extended to Multi Depot Vehicle Routing Problem with Time Windows and Split Delivery (MDVRPTWSD). The objective of the study is to (a) minimize the overall transportation cost (b) minimize distance (c) fully utilizing the fleets vehicles (d) distribute balanced load throughout the vehicles. The study tries to investigate the applicability of AI techniques to solve the multi objective problem.
  • Keywords
    Artificial Intelligence , Multi Objective , Simulated Annealing , Tabu Search , Vehicle routing problem
  • Journal title
    International Journal of industrial engineering and mangement science
  • Serial Year
    2017
  • Journal title
    International Journal of industrial engineering and mangement science
  • Record number

    2468834