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 values to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantages of the proposed approach.
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Acknowledgements
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). Interval Type-2 Fuzzy Logic for Parameter Adaptation in the Gravitational Search Algorithm. In: Sidorov, G., Herrera-Alcántara, O. (eds) Advances in Computational Intelligence. MICAI 2016. Lecture Notes in Computer Science(), vol 10061. Springer, Cham. https://doi.org/10.1007/978-3-319-62434-1_20
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DOI: https://doi.org/10.1007/978-3-319-62434-1_20
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