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International Conference on Computer and Computer Intelligence (ICCCI 2011)

Yi Xie
Yi Xie
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ASME Press
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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%.

Key Words
1. Introduction
2. Preliminaries
3. Proposed Strategy
4. Experimentation and Analysis of the Results
5. Results with the Rosenbrock Function
6. Conclusion
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