Integrated PSO and DE for Data Clustering

This paper studies the applicability of hybridization of Differential Evolution (DE) and PSO techniques to data clustering problem. A new way of integrating DE and PSO is explored in the paper. In one approach, a parallel DE and PSO developed and in other, a transitional approach of alternate DE and PSO technique followed. Simulations for number of data sets show that the proposed integrated approach provides better clustering performance.