• DocumentCode
    2695464
  • Title

    Novel evolutionary algorithm with set representation scheme for truss design

  • Author

    Isaacs, A. ; Ray, T. ; Smith, W.

  • Author_Institution
    Univ. of New South Wales, Canberra
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3902
  • Lastpage
    3908
  • Abstract
    Presented in this paper is a novel scheme of representation for truss geometry. Trusses are represented as a set of elements having a collection of properties (e.g. cross-sectional area, type of material). These sets can be of varying cardinality representing truss structures with different numbers of elements and hence distinctly different topologies. A recombination operator to handle a set representation that can generate offspring topologies that can be different from the parents is also proposed. Depending on the physical problem being solved, one can introduce specific operators which will aid the optimization process. One such mutation operator is used for the truss design to reduce the number of elements, hence finding the smallest feasible topology for the truss structure. Another mutation operator perturbs the properties of the elements using the Gaussian mutation.
  • Keywords
    design engineering; evolutionary computation; structural engineering; supports; topology; Gaussian mutation; evolutionary algorithm; set representation scheme; truss design; truss geometry; Algorithm design and analysis; Biological cells; Computational modeling; Design optimization; Evolutionary computation; Genetic algorithms; Genetic mutations; Geometry; Search methods; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424979
  • Filename
    4424979