CO-JP-2 Performance Evaluation of Particle Swarm Optimization Using Second Global Best Particle Position
Yong-Bing Shin, Eisuke Kita · The Proceedings of Mechanical Engineering Congress Japan · 2012
An original algorithm of Particle Swarm Optimization(PSO) updates the particle position and velocity vectors by global best and personal best particle positions.In this study,the improved PSO algorithm utilizes,in addition to them,global second best particle position.The algorithms are compared in the optimization problem of Rosenbrock function.The numerical result shows that the search performance of the improved algorithm is better than that of the original PSO.