Abstract
In this paper, we are presenting a modification of the Gravitational Search Algorithm (GSA) using type-2 fuzzy logic to dynamically change the alpha parameter and provide a different gravitation and acceleration to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantage of the proposed approach.
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Acknowledgments
We would like to express our gratitude to CONACYT, Tijuana Institute of Technology for the facilities and resources granted for the development of this research.
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González, B., Valdez, F., Melin, P. (2017). A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptation. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_8
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DOI: https://doi.org/10.1007/978-3-319-47054-2_8
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