Review of the PSO research in dynamic environments
Guanghui Wang · Caai Transactions on Intelligent Systems · 2009
Particle swarm optimization(PSO),a parallel random optimization method based on swarm intelligence,exhibits good performance for optimization problems.Since 2000,PSO has been applied to optimization problems in dynamic environments.The challenge with PSO is that the objective is not only to locate an optimum,but also to track that moving optimum as closely as possible.This paper presented the latest developments of PSO in dynamic environments.Various research approaches were reviewed,including improvements in PSO,dynamic change detection,response strategies,performance evaluation and experiments used in researching dynamic problems.