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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 points is interpolated by means of the coalition of a series of characteristic concepts of vector geometry, the numeric methods and the evolutionary computation to construct the response surface; and a second stage where a series of good trajectories by means of the exploration of this 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 indicate a trajectory through the best combinations among the variables of the particular process this surface represents.

Emulación del Crecimiento de Hongos Comestibles y Medicinales utilizando un Algoritmo Evolutivo con un Operador Genético de tipo Cilíndrico