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Imperialist Competitive Algorithm with Fuzzy Logic for Parameter Adaptation: A Parameter Variation Study

  • Emer Bernal
  • Oscar CastilloEmail author
  • José Soria
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 401)

Abstract

This paper applies the imperialist competitive algorithm (ICA) to benchmark mathematical functions with the original method to analyze and perform a study of the variation of the results obtained with the ICA algorithm as we vary the parameters manually for 4 mathematical functions. The results demonstrate the efficiency of the algorithm to optimization problems and give us the pattern for future work in dynamically adapting these parameters.

Keywords

Imperialist competitive algorithm ICA Mathematical functions 

Notes

Acknowledgment

We would like to express our gratitude to the CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.

References

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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