Dynamic clustering with improved binary artificial bee colony algorithm

- We proposed an improved binary artificial bee colony algorithm (IDisABC).
- We examined the proposed algorithm on dynamic clustering.
- Data and image clustering benchmark problems are chosen for experiments.
- The obtained results are compared with K-means, FCM, GA, DisABC, DCPSO.