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.
|Number of pages||14|
|Journal||International Journal of Innovative Computing, Information and Control|
|Publication status||Published - Feb 2012|