A new method

which is employing Adaptive Genetic Algorithms (AGA)

is developed for the detection and parameter evaluation of elliptic ring-shaped clusters. The algorithm is based on optimization of an objective function employing AGA

through which we can not only speed up the clustering

but avoid being trapped into minimum. The algorithm is also validated through testing various forms of synthetic data

such as multiple intersecting ellipses

concentric ellipses

incomplete ellipses

and etc.