Individual Parameter Selection Strategy for Particle Swarm Optimization
Xingjuan Cai, Zhihua Cui, Jianchao Zeng, Ying Tao · InTech eBooks · 2009
This chapter proposes a new model incorporated with the characteristic differences for each particle, and the individual selection strategy for inertia weight, cognitive learning factor and social learning factor are discussed, respectively. Simulation results show the individual selection strategy maintains a fast search speed and robust. Further research should be made on individual structure for particle swarm optimization.