Abstract
The proposal described in this chapter uses the Differential Evolution (DE) algorithm as an optimization method in which we want to dynamically adapt its parameters using fuzzy logic control systems, with the goal that the fuzzy system gives the optimal parameter of the DE algorithm to find better results, depending on the type of problems the DE is applied.
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Ochoa, P., Castillo, O., Soria, J. (2014). Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_19
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DOI: https://doi.org/10.1007/978-3-319-05170-3_19
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