TY - JOUR
T1 - Some applications of S.T. (Shafiabady-Teshnehlab) evolutionary optimization algorithm
AU - Shafiabady, Niusha
AU - Teshnehlab, Mohammad
AU - Nekoui, Mohammad Ali
PY - 2012/2
Y1 - 2012/2
N2 - Considering that optimization methods firmly affect the error and the duration of solving a problem in science and engineering fields, applying a quick and efficient algorithm, suitable for the relevant problem is of much importance. This paper briefs a number of applications of a new evolutionary optimization algorithm, first presented by N. Shafiabady and M. Teshnehlab (referred hereinafter as "S.T." algorithm), which is efficient and quick in comparison with other popular conventional algorithms. The optimal solutions to a problem via S. T. algorithm, are found remarkably fast due to that the said algorithm is appropriate for online applications in compare with other conventional algorithms.
AB - Considering that optimization methods firmly affect the error and the duration of solving a problem in science and engineering fields, applying a quick and efficient algorithm, suitable for the relevant problem is of much importance. This paper briefs a number of applications of a new evolutionary optimization algorithm, first presented by N. Shafiabady and M. Teshnehlab (referred hereinafter as "S.T." algorithm), which is efficient and quick in comparison with other popular conventional algorithms. The optimal solutions to a problem via S. T. algorithm, are found remarkably fast due to that the said algorithm is appropriate for online applications in compare with other conventional algorithms.
KW - Evolutionary optimization algorithm
KW - Genetic algorithm
KW - Particle swarm optimization
KW - S.T
UR - http://www.scopus.com/inward/record.url?scp=84856966358&partnerID=8YFLogxK
M3 - Article
VL - 8
SP - 1299
EP - 1312
JO - International Journal of Innovative Computing Information and Control
JF - International Journal of Innovative Computing Information and Control
SN - 1349-4198
IS - 2
ER -