A Diversity Strategy for Particle Swarm Optimization
一种粒子群算法的多样性策略研究

In this paper,a diversity strategy for Particle Swarm Oplimizer is proposed. The modified algorithm reinitializes part of particles with poorer fitness during the searching process, h is empirically tested and compared with other published methods on many famous benchmark functions. The experimental results illustrate that the proposed algorithm has the potential to achieve higher success ratio and better solution quality, It is very competitive for hard multimodal function optimization.