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.