A new class of operators to accelerate particle swarm optimization
Tlew-On Ting, M.V.C. Rao, C. Lon, Sze Song Ngu · 2004
We present some experiments with a new class of variations of mutation to accelerate the convergence of PSO. These robust mutation variations are tested on benchmark problems and the results show a significant improvement as compared to the original particle swarm optimization algorithm.