• DocumentCode
    2216719
  • Title

    Evolutionary algorithm for the Car Renter Salesman

  • Author

    Asconavieta, Paulo H S ; Goldbarg, Marco C. ; Goldbarg, Elizabeth F G

  • Author_Institution
    Inst. Fed. de Educ., Cienc. e Tecnol. Sul Riograndense, Pelotas, Brazil
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    593
  • Lastpage
    600
  • Abstract
    The Car Renter Salesman is a new variant of the Traveling Salesman Problem with applications in optimization of scheduling of rental cars and transport systems in general. This paper defines the problem and proposes a Transgenetic Algorithm for it. The proposed algorithm is compared to a Memetic Algorithm presented in a previous work In order to focus on differences between the evolutionary strategies of each algorithm, the algorithm proposed here share several elements with the memetic algorithm. Results of a computational experiment performed on twenty instances indicate that the cooperative evolutionary process of the transgenetic algorithm produces high quality solutions outperforming the comparison algorithm.
  • Keywords
    automobiles; genetic algorithms; transportation; travelling salesman problems; car renter salesman; evolutionary algorithm; evolutionary strategy; memetic algorithm; rental cars scheduling optimization; transgenetic algorithm; transport system; traveling salesman problem; Algorithm design and analysis; Biological cells; Cities and towns; Companies; Genetics; Memetics; car renter salesman; combinatorial optimization; metaheuristics; transportation systems optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949673
  • Filename
    5949673