A New Approach of Integrating PSO & Improved GA for Clustering with Parallel and Transitional Technique

  • Authors:

  • Suresh Chandra Satapathy;Venkatesh Katari;Rohit Parimi;Satish Malireddi;V. N. K. Srujan K.;B. B. Misra;Jvr Murthy

  • Affiliations:

  • GITAM Engineering College, India;GITAM Engineering College, India;GITAM Engineering College, India;GITAM Engineering College, India;GITAM Engineering College, India;COE, India;JNTU Engineering College, India

  • Venue:
  • ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
  • Year:
  • 2007

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Abstract

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.