Improvement of Particle Swarm Optimization
Kohsaku Kawakami, Zhi Qi Meng · PIERS Online · 2009
A new technique titled \Particle Refresh and a hybridization with conjugate gradient method are introduced to particle swarm optimization (PSO). The former charges power to inactive particle to improve the recovery ability of PSO after trapping on a local solution, and as a result, it becomes easy to choose suitable values for control-parameters to keep high performance for diverse objective functions. On the other hand, the point of the latter is how to determine the changeover timing between a conjugate gradient method and a PSO algorithm.