• DocumentCode
    2351094
  • Title

    Niches evolving the positioning of a mechanical arm in a 3D environment

  • Author

    Engel, Paulo Martins ; e Silva, E.P.

  • Author_Institution
    Inst. de Inf., Univ. Fed. do Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    1998
  • fDate
    9-11 Dec 1998
  • Firstpage
    91
  • Lastpage
    95
  • Abstract
    This paper presents an extension of the traditional genetic algorithms, called cooperative coevolutionary genetic algorithms (CCGA), which is used to evolve the angles of joints of a mechanical arm with N degrees of freedom in a 3D environment. Initially a brief introduction to this new approach will be presented. After this, we show the developed modeling with obtained results. Finally, extensions of this works will be pointed out
  • Keywords
    genetic algorithms; manipulator kinematics; 3D environment; CCGA; GA; cooperative coevolutionary genetic algorithms; mechanical arm positioning; robot arm; Fuzzy logic; Genetic algorithms; Humans; Microwave integrated circuits; Mobile robots; Neural networks; Read only memory; Remotely operated vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
  • Conference_Location
    Belo Horizonte
  • Print_ISBN
    0-8186-8629-4
  • Type

    conf

  • DOI
    10.1109/SBRN.1998.731000
  • Filename
    731000
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2351094