NATURAL CLUSTERING ANALYSIS

Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method based on the social behavior of birds flocking or fish schooling. A number of basic variations have been developed due to improved speed of convergence and quality of solution found by the PSO. In this paper the overview of PSO Technique is provided and the PSO System is compared with Evolutionary techniques with respect to genetic algorithm and artificial neural network (GA and ANN systems).