Abstract: |
In this article, a computational model for the interpolation and exploration of Complex Response Surfaces is described and analyzed. This computational model consists of two stages: an initial stage in which a group of measured points is interpolated by means of the coalition of characteristic concepts of vector geometry, numeric methods and evolutionary computation to construct a response surface; and a second stage, where a series of good trajectories by means of the exploration of the interpolated surface are determined. In this stage, an evolutionary algorithm, processing a mutation operator that incorporates the fundamental concepts of the cylindrical coordinates, is used to identify a trajectory containing the best combinations among the variables of the particular process this surface represents. |
