A Multi-Agent System Approach for Algorithm Parameter Tuning

  • R. Pavón
  • D. Glez-Peña
  • R. Laza
  • F. Díaz
  • M. V. Luzón
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 55)


The parameter setting of an algorithm that will result in optimal performance is a tedious task for users who spend a lot of time fine-tuning algorithms for their specific problem domains. This paper presents a multi-agent tuning system as a framework to set the parameters of a given algorithm which solves a specific problem. Besides, such a configuration is generated taking into account the current problem instance to be solved. We empirically evaluate our multi-agent tuning system using the configuration of a genetic algorithm applied to the root identification problem. The experimental results show the validity of the proposed model.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • R. Pavón
    • 1
  • D. Glez-Peña
    • 1
  • R. Laza
    • 1
  • F. Díaz
    • 2
  • M. V. Luzón
    • 3
  1. 1.Computer ScienceUniversity of VigoSpain
  2. 2.Computer ScienceUniversity of ValladolidSpain
  3. 3.Computer ScienceUniversity of GranadaSpain

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