abstract
- In this work it was studied the problem of finding the best approximation to characterize the feet temperature distribution. For this study it was considered the nonlinear optimization, specifically the pattern search method for local optimization and the genetic algorithm method for global optimization. Using these nonlinear optimization methods we were capable to identify the function that fits the data obtained through thermographic images.