Formalization Description and Instance Research on Particle Swarm Optimization Algorithm
Lei Wang, Qi Kang, Hui Xiao, Qidi Wu · 2006
Formalization description of particle swarm optimization algorithm is proposed based on the collectivity mode framework of swarm intelligence in this paper. As a specific case, a modified particle swarm optimization algorithm is brought forward in formalization description mode on the basis of defining the optimum information broadcasting mode, in which broadcasting scope of the optimum information is provided with logical grouped-and-delayed characteristic and dynamic spreading scope characteristic. The algorithm's effectiveness is proved by computer simulation results.