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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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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