Dynamic diffusion particle swarm optimization
Xiao-bo REN, Zhongxiu Yang · Journal of Computer Applications · 2010
Dynamic Diffusion Particle Swarm Optimization(DDPSO) was proposed to improve the poor search quality of the standard PSO for optimizing high-dimensional function.A nonlinear function was introduced to adjust the inertia weight and it added a dynamic random number in the updating mode of particle velocity to enhance the searching ability.Meanwhile,particles were diffused again under certain conditions in order to ensure diversity of the swarm.Simulations show that dynamic diffusion particle swarm optimization has outstanding performances in high-dimensional function optimization compared with standard or other modified PSOs.