Optimization of fuzzy controller design using a new bee colony algorithm with fuzzy dynamic parameter adaptation.

•We are presenting a modification of a bio-inspired algorithm based on the bee behavior for optimizing fuzzy controllers.•A modification of the method is presented by adding fuzzy logic to dynamically change the main parameters.•The algorithm with the fuzzy approach is used to optimize benchmark control problems.•Comparison of results shows that the proposed fuzzy BCO method outperforms the traditional BCO.