Abstract:
An improved glowworm swarm optimization algorithm (IGSOA)for clustering problem is propsed.In this algorithm,real-coded and decoded methods are used for the cluster center,linearly decreasing steps are adopted instead of fixed steps inspired by particle swarm optimization (PSO) algorithm,the position of the glowworm is updated based on both dynamic decision domains and global position in place of dynamic decision merely,and also the outliers′ movement strategy is added to the algorithm making its movement to the optima. The simulation result on UCI datasets demonstrates that the new method performs better than PSO and the basic GSO algorithms.
