关键词: 数学方差, 粒子群优化算法, 路由选择

Abstract:

The mathematical variance measures the relationship of different distances between a data and the data collection central
value. Inspired by this relationship, the traditional particle swarm optimization algorithm will be improved, the excellent particle group
will be picked out as the next generation of particles, and routing algorithm based on an excellent particle swarm optimization algorithm
will be designed. This algorithm inherits the traditional algorithm, and improves the convergence rate and reduces the computational
quantity.

Key words: mathematical variance, particle swarm optimization algorithm, routing