The True Nature of Multi-Dimensional Gaussian Mutation

  • Andrzej Obuchowicz


The aim of this work is to pay attention of researchers who deal with evolutionary algorithms to the fact, that the most probably location of the mutated points in multi-dimensional Gaussian mutation is not in the nearest neighborhood of the base point, but in a certain distance proportional to the norm of the standard deviation vector, which increases with the landscape dimension. This fact may cause a decrease in the evolutionary algorithm sensitivity to narrow peaks when increasing the landscape dimension. Some new Gaussian-like mutation is proposed in order to overcome this problem.


Target Class Rule Induction Neighborhood System Landscape Dimension Quality Rule 
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 Wien 2001

Authors and Affiliations

  • Andrzej Obuchowicz
    • 1
  1. 1.Institute of Control and Computation EngineeringTechnical University of Zielona GóraZielona GóraPoland

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