Schemata, Distributions and Graphical Models in Evolutionary Optimization

  title={Schemata, Distributions and Graphical Models in Evolutionary Optimization},
  author={Heinz M{\"u}hlenbein and Thilo Mahnig and Alberto Ochoa-Rodr{\'i}guez},
  journal={J. Heuristics},
In this paper the optimization of additively decomposed discrete functions is investigated. For these functions genetic algorithms have exhibited a poor performance. First the schema theory of genetic algorithms is reformulated in probability theory terms. A schema deenes the structure of a marginal distribution. Then the conceptual algorithm BEDA is introduced. BEDA uses a Boltzmann distribution to generate search points. From BEDA a new algorithm, FDA, is derived. FDA uses a factorization of… CONTINUE READING
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