Abstract
The main goal of this paper is to present a general study of the Grey Wolf Optimizer algorithm. We perform tests to determine in the first part which parameters are candidates to be dynamically adjusted and in the second stage to determine which are the parameters that have the greatest effect in the algorithm. We also present a justification and results of experiments as well as the benchmark functions that were used for the tests that are shown.
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RodrÃguez, L., Castillo, O., Soria, J. (2017). A Study of Parameters of the Grey Wolf Optimizer Algorithm for Dynamic Adaptation with Fuzzy Logic. 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_25
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DOI: https://doi.org/10.1007/978-3-319-47054-2_25
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