A new type of particle swarm optimization
Liang Li · Journal of Liaoning Technical University · 2010
In order to enhance the efficiency of original particle swarm optimization algorithm,the harmony search procedure is adopted to generate the new positions of current particles using self-learning and social recognition.Therefore,a new type of particle swarm optimization algorithm has been developed,which is used to solve numerical functions.A comparative study shows that the new particle swarm optimization algorithm enhances the efficiency in searching capacity than that of the original PSO.