• DocumentCode
    2700735
  • Title

    Amplification of perspectives in the use of evolutionary computation

  • Author

    Falqueto, Jovelino ; Barreto, Jorge Muniz ; Da Silva Borges, Paulo Sérgio

  • Author_Institution
    Dept. of Comput. Sci. & Stat., Univ. Fed. de Santa Catarina, Florianapolis, Brazil
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    150
  • Lastpage
    157
  • Abstract
    Initially, different areas of research in computer science based on models inspired by nature are approached. The area entitled “evolutionary computation” is discussed in a general view. After this, emphasis is placed on the human tendency to copy and to find answers to new problems by adopting similar solutions from other equivalent issues that have already been resolved by nature. Finally, we demonstrate that, in the case of evolutionary computation, even if success is achieved in many cases, most of what nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases, a more detailed and more faithful copy could have yielded better results for already-existing systems or for new ones
  • Keywords
    computer science; evolutionary computation; problem solving; simulation; computer science; copying; evolutionary computation; nature; perspective amplification; problem solving; simulation process; Artificial intelligence; Artificial neural networks; Computational modeling; Computer aided instruction; Computer applications; Computer science; Evolutionary computation; Humans; Machine intelligence; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Informatics and Biomedical Engineering, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7695-0862-6
  • Type

    conf

  • DOI
    10.1109/BIBE.2000.889602
  • Filename
    889602