From recombination of genes to the estimation of distributions I. Binary parameters

  • H. Mühlenbein
  • G. Paaß
Theoretical Foundations of Evolutionary Computation
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1141)


The Breeder Genetic Algorithm (BGA) is based on the equation for the response to selection. In order to use this equation for prediction, the variance of the fitness of the population has to be estimated. For the usual sexual recombination the computation can be difficult. In this paper we shortly state the problem and investigate several modifications of sexual recombination. The first method is gene pool recombination, which leads to marginal distribution algorithms. In the last part of the paper we discuss more sophisticated methods, based on estimating the distribution of promising points.


Genetic Algorithm Conditional Distribution Marginal Distribution Additive Genetic Variance Linkage Equilibrium 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • H. Mühlenbein
    • 1
  • G. Paaß
    • 1
  1. 1.GMD - Forschungszentrum InformationstechnikSankt AugustinGermany

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