基于样本的粒子群优化算法，（ELPSO），能够保持粒子的收敛性和多样性-This paper proposes an example-based learning PSO (ELPSO) to overcome these shortcomings

by keeping a balance between swarm diversity and convergence speed. Inspired by

a social phenomenon that multiple good examples can guide a crowd towards making progress,

ELPSO uses an example set of multiple global best particles to update the positions of

the particles.