• DocumentCode
    2444652
  • Title

    Cultural algorithms: concepts and experiments

  • Author

    Franklin, Benjamin ; Bergerman, Marcel

  • Author_Institution
    Net-X-Perts Co., Alphaville, SP, Brazil
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1245
  • Abstract
    Evolutionary computation is a generic name given to the resolution of computational problems that are planned and implemented based on models of the evolutionary process. Most of the evolutionary algorithms that have been proposed follow biological paradigms and the concepts of natural selection, mutation and reproduction. There are, however, other paradigms which may be adopted in the creation of evolutionary algorithms. Several problems involving unstructured environments may be addressed from the point of view of cultural paradigms, which offer plenty of categories of models where one does not know all possible solutions to a problem - a very common situation in real life. This work applies the computational properties of cultural technology to the solution of a specific problem, adapted from the robotics literature. A test environment denoted the “Cultural Algorithms Simulator” was developed to allow anyone to learn more about the rather unconventional characteristics of a cultural technology
  • Keywords
    evolutionary computation; social sciences; Cultural Algorithms Simulator; biological paradigms; cultural technology; evolutionary algorithms; evolutionary computation; robotics; unstructured environments; Biological system modeling; Biology computing; Cultural differences; Evolutionary computation; Genetic mutations; Humans; Instruments; Organisms; Robots; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
  • Conference_Location
    La Jolla, CA
  • Print_ISBN
    0-7803-6375-2
  • Type

    conf

  • DOI
    10.1109/CEC.2000.870793
  • Filename
    870793