• DocumentCode
    2821591
  • Title

    A self-organizing and self-adaptive French flag Organism based on lateral activation model

  • Author

    Xu, Jiaqing ; Lv, Qi ; Zhou, Jie ; Dou, Yong

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Organisms possess an amazing self-organizing and self-adaptive abilities compared with the man-made system. These abilities emit a strong attraction to engineers engaged in reliable electronic system design. In the current paper, a bio-inspired approach based on a lateral activation model from biological pattern formation theory is used to design the genotype of a French flag Organism. This lateral activation model represents the intercellular and intracellular interaction of biochemical substances. The designed French flag organism not only has the ability to form arbitrary sizes or a French flag pattern, but also exhibit powerful individual adaptability which is different from the adaptability that can be derived from species evolution. Moreover, this French flag organism shows wonderful dissociated-and-reaggregated capacity as hydrae. The current paper shows that designing reliable electronic systems that are similar to an organism is entirely possible through bio-inspired approach, and provides a new avenue for future reliable electronic systems design.
  • Keywords
    biocomputing; electronic engineering; reliability; self-adjusting systems; French flag pattern; adaptability; bio-inspired approach; biochemical substances; biological pattern formation theory; genotype design; intercellular interaction; intracellular interaction; lateral activation model; reliable electronic system design; self-adaptive French flag organism; self-organizing French flag organism; Adaptation models; Arrays; Biological system modeling; Equations; Mathematical model; Organisms; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6256514
  • Filename
    6256514