• DocumentCode
    2144821
  • Title

    An evolutionary multi-objective modeling and solution approach for fuzzy vehicle routing problem

  • Author

    Sherinov, Zhavat ; Ünveren, Ahmet ; Acan, Adnan

  • Author_Institution
    Comput. Eng. Dept., Eastern Mediterranean Univ., Mersin, Turkey
  • fYear
    2011
  • fDate
    15-18 June 2011
  • Firstpage
    450
  • Lastpage
    454
  • Abstract
    In this paper an evolutionary multi-objective optimization approach is applied to extend fuzzy multi objective problem considered by Jeng-Jong Lin [1] and Gupta et al [2, 3]. In our extended work, the concept of fuzzy [6, 8] due time is applied to increase satisfaction grade of customers and to meet their demands much better as well as to decrease the delay times of vehicles, which service customers during their desired period of times, so the objectives are as follows: maximize the loading capacity of vehicles, minimize the distance travelled by vehicles, minimize the waiting time of customers, maximize the satisfaction grade of customers, minimize the delay times of vehicles.
  • Keywords
    customer satisfaction; customer services; fuzzy logic; optimisation; transportation; customers satisfaction grade; customers service; evolutionary multi-objective optimization; fuzzy vehicle routing problem; Algorithm design and analysis; Biological cells; Delay; Loading; Minimization; Routing; Vehicles; Evalutionary Algorithms; Fuzzy logic; Vehicle routing problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-61284-919-5
  • Type

    conf

  • DOI
    10.1109/INISTA.2011.5946143
  • Filename
    5946143