• DocumentCode
    1643203
  • Title

    Obtaining system robustness by mimicking natural mechanisms

  • Author

    Zhan, Song ; Miller, Julian F. ; Tyrrell, Andy M.

  • Author_Institution
    Dept. of Electron., Univ. of York, York
  • fYear
    2009
  • Firstpage
    3032
  • Lastpage
    3039
  • Abstract
    Real working agents normally operate in dynamic changing environments. These changes could either affect the efficiency of the agents´ performance or even damage the functionality of the agent. Robustness is the key requirement to solve this problem. Inspired by nature, this paper demonstrates two mechanisms that contribute to individual´s robustness in changing environments: evolution and degeneracy. Through evolution in damaging environment, evolved agents have to cope with changes in the environment and acquire robustness. Through degeneracy, individuals can maintain their fitness even when some damaged parts are involved in system function.
  • Keywords
    evolutionary computation; software agents; agent performance; changing environment; damaging environment; degeneracy; evolution; natural mechanism; real working agents; system function; system robustness; Biological system modeling; Biomembranes; Cells (biology); Circuit synthesis; Electronic circuits; Evolution (biology); Logic gates; Logic programming; Protein engineering; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4983326
  • Filename
    4983326