An improved particle swarm optimization algorithm with disturbance
Wei Jian, Yuncan Xue, Axin Qian · 2005
The impacts of constant parameters on particle swarm optimization are discussed. A velocity or position disturbance is introduced to prevent premature phenomenon of the original algorithm. A valve is introduced and the selection criteria are discussed. Simulations have been carried and the results show this improved algorithm has better performance by comparing with original particle swarm optimization.