• DocumentCode
    2462276
  • Title

    Optimization of pavement design using a genetic algorithm

  • Author

    Pryke, Andy ; Evdorides, Harry ; Abu Ermaileh, R.

  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1095
  • Lastpage
    1098
  • Abstract
    The design of road pavements is an engineering problem with a number of required design inputs. Although many analytical methods are in use, the existing methods do not explicitly include optimization processes whereby the design of pavement may be linked to criteria and associated objectives different from the conventional engineering-driven ones. This paper presents a prototype system that demonstrates how an analytical pavement design procedure can be optimized using a genetic algorithm. The approach considered is flexible as it can be used to optimize any computerized pavement design method. In addition, the results obtained from the system are comparable with those derived from a well known method. It is felt therefore that this exemplar prototype system may be further developed to cater for any type of road pavements and to include more complex optimization procedures.
  • Keywords
    genetic algorithms; road building; analytical pavement design; computerized pavement design; genetic algorithm; pavement design optimization; road pavements; Algorithm design and analysis; Cost function; Design engineering; Design methodology; Design optimization; Genetic algorithms; Performance analysis; Process design; Prototypes; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688431
  • Filename
    1688431