This study attempts to accelerate the learning ability of an artifcial electric feld algorithm (AEFA) by attributing it with two mechanisms: elitism and oppositionbased learning. Elitism advances the convergence of the AEFA towards global optima by retaining the fne-tuned solutions obtained thus...

The paper presents a K-mediod clustering algorithm based on ant colony optimization theory. Finding clusters in data is a challenging problem. Clustering task aims at the unsupervised classification of patterns in different clusters. Clustering with ant-based algorithm is the most promising...