• DocumentCode
    617850
  • Title

    Royal road functions and the (1 + λ) evolutionary algorithm: Almost no speed-up from larger offspring populations

  • Author

    Doerr, Benjamin ; Kunnemann, Marvin

  • Author_Institution
    Max-Planck-Inst. fur Inf., Saarbrucken, Germany
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    424
  • Lastpage
    431
  • Abstract
    We analyze the runtime of the (1 + λ) evolutionary algorithm (EA) on the classic royal road test function class. For a royal road function defined on bit-strings of length n having block sized ≥ log n + (c + 1 + ε) log d, we prove that the (1 + λ) EA with λ = Θ(nc) finds the optimum in an expected number of O(2d/dc · n/d log n/d) generations. Together with our lower bound of Ω(2d/dc), this shows that for royal road functions even very large offspring populations do not reduce the runtime significantly.
  • Keywords
    computational complexity; evolutionary computation; Ω(2d/dc) lower bound; (1 + λ) evolutionary algorithm; O(2d/dc · n/d log n/d) generations; bit strings; block sized; classic royal road test function class; offspring population; Evolutionary computation; Markov processes; Optimization; Roads; Runtime; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557600
  • Filename
    6557600