• DocumentCode
    239231
  • Title

    Scientific algorithms for the Car Renter Salesman Problem

  • Author

    Felipe, Denis ; Ferreira Gouvea Goldbarg, Elizabeth ; Goldbarg, Marco C.

  • Author_Institution
    Dept. de Inf. e Mat. Aplic., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    873
  • Lastpage
    879
  • Abstract
    This paper presents the Scientific Algorithms, a new metaheuristics inspired in the scientific research process. The new method introduces the idea of theme to search the solution space of hard problems. The inspiration for this class of algorithms comes from the act of researching that comprises thinking, knowledge sharing and disclosing new ideas. The ideas of the new method are illustrated in the Traveling Salesman Problem. A computational experiment applies the proposed approach to a new variant of the Traveling Salesman Problem named Car Renter Salesman Problem. The results are compared to state-of-the-art algorithms for the latter problem.
  • Keywords
    graph theory; travelling salesman problems; car renter salesman problem; metaheuristic; scientific algorithms; traveling salesman problem; Cities and towns; Context; Cultural differences; Evolutionary computation; Sociology; Statistics; Vehicles; car renter salesman problem; metaheuristics; scientific algorithms; scientific research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2014 IEEE Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6626-4
  • Type

    conf

  • DOI
    10.1109/CEC.2014.6900556
  • Filename
    6900556