%0 Journal Article
%A LIU Qiong
%A LUO Ke
%T Clustering algorithm based on Particle Swarm Optimization with mutation
%D 2010
%R 10.3778/j.issn.1002-8331.2010.16.038
%J Computer Engineering and Applications
%P 130-131
%V 46
%N 16
%X Aiming at premature convergence and convergence speed of basic particle swarm optimization algorithm，the clustering algorithm based on particle swarm optimization algorithm with mutation is proposed.A mutation operator is used in the algorithm for some particles to escape from the local optimal solution.The algorithm is evaluated on Iris plants database.Results show that the algorithm not only avoids local optima，but also increases the convergence speed.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.16.038