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International Conference on Computer and Computer Intelligence (ICCCI 2011)

By
Yi Xie
Yi Xie
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ISBN:
9780791859926
No. of Pages:
740
Publisher:
ASME Press
Publication date:
2011

This article proposes a novel method for multivariate optimization unconstrained named Stairs, based on optimization in one variable. The proposed method is compared against methods from the specialized literature such as the Multivariate Newton-Raphson and the Multivariate Fletcher-Powell. The instances of the problems were taken from real life situations. For a real comparison, metrics such as Number of Iterations, Number of Instructions and Processing time were taken into account. Stairs showed a speed improvement relative to the compared methods in problems that include difficult differentiation because it does not use matrix operations.

Abstract
Keywords
1. Introduction
2. Multivariate Optimization
3. Stairs Method
4. Results
6. Summaries
References
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