Methods for the Optimization of Some Functions of Interpolation with Application for Modelling of the Thermal Field in Machining Processes

摘要

In this article, there are mainly presented two methods for the optimization of some functions of interpolation. A first method is that of minimizing functional operators, thus drawing conclusions on the importance of knots where the measurements are made, therefore allowing the number of knots to be reduced. A second method is that of genetic algorithms which is used to optimize an objective function, starting from a population of codifications of possible solutions for the problem, and where probabilistic transition rules are used instead of determinist ones.