Enrique Yeguas-Bolivar

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The availability of a model to measure the performance of evolutionary algorithms is very important, especially when these algorithms are applied to solve problems with high computational requirements. That model would compute an index of the quality of the solution reached by the algorithm as a function of run-time. Conversely, if we fix an index of(More)
A novel method for procedurally modelling large, complex three–dimensional scenes is presented. Our approach is general-purpose and takes as input any three–dimensional model intuitively provided by a user. The algorithm exploits the adjacency between shapes and objects in the input model and computes an output model that extracts these features(More)
—In previous works we have shown that applying genetic algorithms to solve the Root Identification Problem is feasible and effective. The behavior of evolutive algorithms is characterized by a set of parameters that have an effect on the algorithms' performance. In this paper we report on an empirical statistical study conducted to establish the influence(More)