The proposed CAAP method can improve the clustering performances of AP and adaptive AP methods.
The parameter “preference” of AP can be adapted by the silhouette index.
In CAAP, the damping factor can be adjusted to eliminate the oscillation of AP.
An improved CS algorithm that has strong ability to explore global minima is proposed.
A coefficient about evolutional ratio to modify the step length and discovery probability of CS.