The paper presents a comparative analysis of data clustering by Particle swarm optimization (PSO) and differential evolution (DE) techniques. It is clearly reveled from the simulation results that almost parameter free optimization technique such as Differential evolution could provide better performance compared to PSO where in many parameters are to be tuned. To exhibit the numerical optimizing capability of DE we have demonstrated the capability of this by optimizing few benchmark functions.
A comparision of data clustering by Particle swarm optimization (PSO) and DE techniques was made by Sai Hanuman et al. REF .
Data Clustering Using Almost Parameter Free Differential Evolution Technique
International Journal of Computer Applications
Computer Science