Hierarchic Particle Swarm Optimization Based Target Tracking
Changfeng Niu, Yushu Liu · ASME Press eBooks · 2009
A target tracking algorithm based on particle swarm optimization (PSO) is proposed. Due to a premature convergence with PSO in multimodal problems, an improved PSO, i.e. hierarchic particle swarm optimization (HPSO), is proposed and utilized to track target. To maintain high diversity of particle swarm, dynamic propagation is utilized to generate new particles in tracking process. In addition, parameters in PSO are adaptively adjustment in iteration process, leading to a favorable performance in tracking applications. Experiment results demonstrate the proposed algorithm is accurate and effective.