• DocumentCode
    289485
  • Title

    Shape representation and evolutionary algorithms

  • Author

    Nettleton, D.J. ; Garigliano, R.

  • Author_Institution
    Dept. of Comput. Sci., Durham Univ., UK
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    42370
  • Lastpage
    42374
  • Abstract
    The shape generated by an iterated function system is known as the attractor and there are several algorithms which can be used to generate them. Evolutionary algorithms such as genetic algorithms (GAs) and evolutionary programming (EP) have been successfully applied to problems with large and complex search spaces. This paper presents some of the results achieved when a GA and EP are applied to several inverse problems
  • Keywords
    genetic algorithms; image representation; inverse problems; iterative methods; search problems; attractor; complex search spaces; evolutionary algorithms; evolutionary programming; genetic algorithms; inverse problems; iterated function system; shape representation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Genetic Algorithms in Image Processing and Vision, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    383633
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=289485