A New Approach of Integrating PSO & Improved GA for Clustering with Parallel and Transitional Technique
Suresh Chandra Satapathy, Venkatesh Katari, Rohit Parimi, Satish Malireddi, V.N.K. Srujan K., B.B. Misra, J. V. R. Murthy · 2007
This paper studies the applicability of hybridization of Improved GA (IGA) and PSO techniques to data clustering problem. A new way of integrating IGA and PSO is explored in the paper. In one approach, a parallel IGA and PSO developed and in other, a transitional approach of alternate IGA and PSO technique followed Simulations for number of data sets show that the proposed integrated approach provides better clustering performance.