38 A Novel Non Gradient Dependent Method for Unconstrained Multivariate Optimization

This paper states a novel method based on the Hill Climbing for unrestricted multivariate optimization. The proposed method was compared against method from the specialized literature such as Multivariate Newton-Raphson and Multivariate Fletcher-Powell. For making a real comparison, metrics such as Number of Iteration, Processing Time and Stability of the Solution were taken into account. The results showed that the proposed method was the best with a good performance in the metrics, in some cases, of 100% out of 100%.