The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
We have developed a tactile display that uses electric current from the skin surface as a stimulus. Our main objective was to independently stimulate a variety of mechanoreceptors...
Nowadays, every industry's goal is to improve their manufacturingprocesses and to increase their cadence of production, in order to be competitive. This goal usually implies ...