Skip to Main Content
ASME Press Select Proceedings

International Conference on Computer and Computer Intelligence (ICCCI 2011)

By
Yi Xie
Yi Xie
Search for other works by this author on:
ISBN:
9780791859926
No. of Pages:
740
Publisher:
ASME Press
Publication date:
2011

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%.

Abstract
Key Words
1. Introduction
2. Preliminaries
3. Proposed Strategy
4. Experimentation and Analysis of the Results
5. Results with the Rosenbrock Function
6. Conclusion
References
This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal