An important step in gaining a better understanding of the stochastic dynamics of evolving populations, is the development of appropriate analytical tools. We present a new drift theorem for populations that allows properties of their long-term behaviour, e.g. the runtime of evolutionary algorithms, to be derived from simple conditions on the one-step behaviour of their variation operators and selection mechanisms.


Random Walk Selection Mechanism Reproductive Rate Search Point Family Tree 
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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Per Kristian Lehre
    • 1
  1. 1.Technical University of DenmarkLyngbyDenmark

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