• DocumentCode
    342660
  • Title

    “Effective” fitness landscapes for evolutionary systems

  • Author

    Stephens, C.R.

  • Author_Institution
    Inst. de Ciencias Nucl., Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Abstract
    In evolution theory the concept of a fitness landscape has played an important role, evolution itself being portrayed as a hill-climbing process on a rugged landscape. It is shown that in general, in the presence of other genetic operators such as mutation and recombination, hill-climbing is the exception rather than the rule. This discrepancy can be traced to the different ways that the concept of fitness appears, as a measure of the number of fit offspring, or as a measure of the probability to reach reproductive age. Effective fitness models the former not the latter and gives an intuitive way to understand population dynamics as flows on an effective fitness landscape when genetic operators other than selection play an important role. The efficacy of the concept is shown using several simple analytic examples and also some more complicated cases illustrated by simulations
  • Keywords
    evolution (biological); evolutionary computation; effective fitness landscape; evolution theory; evolutionary computation; evolutionary systems; fit offspring; fitness landscapes; genetic operators; hill-climbing process; mutation; population dynamics; population genetics; recombination; reproductive age; rugged landscape; Analytical models; Biological system modeling; Circuits; Ethics; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Length measurement; Mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-5536-9
  • Type

    conf

  • DOI
    10.1109/CEC.1999.782002
  • Filename
    782002