A Diversity Strategy for Particle Swarm Optimization
Kai Lei · 2006
In this paper,a diversity strategy for Particle Swarm Optimizer is proposed.The modified algorithm re-ini- tializes part of particles with poorer fitness during the searching process.It is empirically tested and compared with oth- er published methods on many famous benchmark functions.The experimental results illustrate that the proposed algo- rithm has the potential to achieve higher success ratio and better solution quality.It is very competitive for hard multi- modal function optimization.