Experiments with ACS2

  • Martin V. Butz
Part of the Genetic Algorithms and Evolutionary Computation book series (GENA, volume 4)

Abstract

Although the genetic generalization approach in the last chapter reveals many similarities with XCS, it is certainly not straight forward to confirm that the GA is any good. The GA could be too strong, which would result in a disruption of the model evolution and an over-generalized population, or too weak, which would result in a larger, still over-specialized population. It is examined if the GA is able to overcome the observed over-specialization. Does the GA result in an evolution of accurate, maximally general classifiers in the population and further, does the GA cause a convergence to the aspired classifiers?

Keywords

Recombination Assure Summing Aliasing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Martin V. Butz
    • 1
  1. 1.University of WürzburgGermany

Personalised recommendations