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Fuzzy Logic Dynamic Parameter Adaptation in the Gravitational Search Algorithm

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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) (HIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 552))

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Abstract

In this paper a new approach for parameter adaptation is proposed, where a fuzzy system is implemented to dynamically change some parameters of the Gravitational Search Algorithm (GSA), the idea of dynamically changing the parameters of GSA come from the necessity of having a method that allows GSA to be implemented on any problem without the need to find the best values for each parameter, because the fuzzy system will do that for us. To properly adjust the parameters the fuzzy system depends on some metrics of GSA, like the percentage of iterations elapsed and the degree of dispersion of the agents from GSA on the search space, which are used in the proposed approach.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, Mexico

    Frumen Olivas, Fevrier Valdez & Oscar Castillo

Authors
  1. Frumen Olivas
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  2. Fevrier Valdez
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  3. Oscar Castillo
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Corresponding author

Correspondence to Oscar Castillo .

Editor information

Editors and Affiliations

  1. (MIR Labs), Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

  4. Technopolis Rabat-Shore Rocade, International University of Rabat, Sala el Jadida, Morocco

    Ghita Mezzour

  5. Inst Applied Dept of Electronics, Taffala, University of Sousse, Sousse, Tunisia

    Nizar Rokbani

  6. Fakulti Teknologi Maklumat dan Komunikas, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Olivas, F., Valdez, F., Castillo, O. (2017). Fuzzy Logic Dynamic Parameter Adaptation in the Gravitational Search Algorithm. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-52941-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52940-0

  • Online ISBN: 978-3-319-52941-7

  • eBook Packages: EngineeringEngineering (R0)

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