TY - GEN
T1 - Ameliorated particle swarm optimization by integrating Taguchi methods
AU - Liu, Chuan Hsi
AU - Chen, Yen Liang
AU - Chen, Jen Yang
PY - 2010
Y1 - 2010
N2 - In this study, a novel particle swarm optimization (PSO) integrated with Taguchi method will be introduced. We use Taguchi method to assist PSO in finding the optimum in each dimension of position vectors during iterations, and exploit those optima to derive a new best-adaptive position vector (particle) afterward. Through verification over six benchmark functions, we have compared this PSO-Taguchi algorithm with the traditional global and local versions of PSO, and have found that the PSO-Taguchi method has a superior performance in convergence rate. In this paper, PSO will be first introduced. Then Taguchi method and its characteristics will be reviewed. Next, the issue of slow convergence speed with regard to the traditional PSO will be discussed. Finally, in order to solve this issue, a novel PSO-Taguchi algorithm will be proposed and verified through simulations.
AB - In this study, a novel particle swarm optimization (PSO) integrated with Taguchi method will be introduced. We use Taguchi method to assist PSO in finding the optimum in each dimension of position vectors during iterations, and exploit those optima to derive a new best-adaptive position vector (particle) afterward. Through verification over six benchmark functions, we have compared this PSO-Taguchi algorithm with the traditional global and local versions of PSO, and have found that the PSO-Taguchi method has a superior performance in convergence rate. In this paper, PSO will be first introduced. Then Taguchi method and its characteristics will be reviewed. Next, the issue of slow convergence speed with regard to the traditional PSO will be discussed. Finally, in order to solve this issue, a novel PSO-Taguchi algorithm will be proposed and verified through simulations.
KW - Optimization technique
KW - Particle swarm optimization (PSO)
KW - Taguchi method
UR - http://www.scopus.com/inward/record.url?scp=78149302945&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149302945&partnerID=8YFLogxK
U2 - 10.1109/ICMLC.2010.5580960
DO - 10.1109/ICMLC.2010.5580960
M3 - Conference contribution
AN - SCOPUS:78149302945
SN - 9781424465262
T3 - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
SP - 1823
EP - 1828
BT - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
T2 - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Y2 - 11 July 2010 through 14 July 2010
ER -