Abstract
In this paper a new metaheuristic based on coping strategies of plants with a fuzzy approach is presented. In this work the authors propose a variant of the original algorithm of the plants with a fuzzy approach, The new proposal consists of adding fuzzy logic to adapt the parameters of the algorithm dynamically. In this work, a fuzzy controller is responsible of find the optimal values of the variables α, β, δ, λ, in order to help the algorithm to have a greater performance in solving problems, in the previous works the authors apply the original algorithm to optimization problems, and the parameters of the variables are moved manually, however the results obtained are acceptable in some cases, but we consider that they can be improved using the intelligent technique for the adaptation of parameters.
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Caraveo, C., Valdez, F., Castillo, O. (2018). A New Metaheuristic Based on the Self-defense Mechanisms of the Plants with a Fuzzy Approach Applied to the CEC2015 Functions. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_12
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